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FastAF: tool descriptions scored co.fastaf/fastaf

tools/list taken
(UTC)
From
Official MCP Registry
Connected to
https://api.fastaf.co/mcp
Homepage
fastaf.co
Scoring rules
v2
Removal
support@forecall.dev
Score this URL as it is today

Scores, issues and names only

This page shows how FastAF (co.fastaf/fastaf)'s tool descriptions scored, the issues found and the names of its tools and parameters. The descriptions are the server's own: read them where the copy came from.

Forecall asked the URL this server lists in the official MCP Registry for its tools/list once, on the date above, without calling any tool. The server may have changed since.

servers/co.fastaf/fastaf
Average score
69.3 / 100Cloudy
Tools
23
Near-identical descriptions
0

Across the server

No server-wide issues.

Tools

amazon_product

58 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
22 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context
  • Minor
    No `required` list, so every argument is optional.no_required

search_ebay

61 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context

search_walmart

61 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context

x_profile

61 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context

search_youtube

64 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
10 / 10
Examples
5 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context

get_linkedin_profile

66 / 100Cloudy

Purpose
17 / 20
When to use
5 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10

No issues.

google_images

66 / 100Cloudy

Purpose
17 / 20
When to use
5 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10

No issues.

google_maps_places

66 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
10 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context

search_flights

66 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
10 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context
  • Minor
    Required identifiers whose description does not say where the value comes from: departure_id, arrival_id. Name the tool or the place that returns it, or models look it up first.id_source_missing

search_jobs

66 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
10 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context

search_news

66 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
10 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context

search_zillow

66 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
10 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context

bing_search

71 / 100Clear

Purpose
17 / 20
When to use
10 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10

No issues.

google_ai_answer

71 / 100Clear

Purpose
17 / 20
When to use
10 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10

No issues.

search_linkedin_jobs

71 / 100Clear

Purpose
17 / 20
When to use
10 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10

No issues.

read_reddit

74 / 100Clear

Purpose
17 / 20
When to use
10 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
10 / 10
Examples
5 / 10

No issues.

youtube_transcript

74 / 100Clear

Purpose
17 / 20
When to use
10 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
10 / 10
Examples
5 / 10

No issues.

google_search

76 / 100Clear

Purpose
17 / 20
When to use
15 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10

No issues.

google_shopping_prices

76 / 100Clear

Purpose
17 / 20
When to use
15 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10

No issues.

search_patents

76 / 100Clear

Purpose
17 / 20
When to use
15 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10

No issues.

search_scholar

76 / 100Clear

Purpose
17 / 20
When to use
15 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10

No issues.

extract

79 / 100Clear

Purpose
17 / 20
When to use
15 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
10 / 10
Examples
5 / 10

No issues.

scrape_url

84 / 100Clear

Purpose
17 / 20
When to use
20 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
10 / 10
Examples
5 / 10

No issues.

What static scoring cannot tell

This score reads only the text of each description and schema: it says what is written, not what a model will do. Short tools whose names already say what they do, such as browser_close, score low here even when models use them well, and in our measurements current models chose the right tool in one step even from one-line descriptions, as long as the names and schemas differed. What the text cannot show, such as what happens over several steps and whether an added sentence helps or misleads, is what an evaluation measures, on the Pro and Team plans.

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