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AI PM Lab: tool descriptions scored io.aipmlab/ai-pm-lab

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

Scores, issues and names only

This page shows how AI PM Lab (io.aipmlab/ai-pm-lab)'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/io.aipmlab/ai-pm-lab
Average score
65.2 / 100Cloudy
Tools
18
Near-identical descriptions
0

Across the server

No server-wide issues.

Tools

list_challenges

54 / 100Cloudy

Purpose
14 / 20
When to use
0 / 20
Arguments
25 / 25
Return value
8 / 15
Constraints and side effects
7 / 10
Examples
0 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context

get_lesson

55 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
23 / 25
Return value
8 / 15
Constraints and side effects
7 / 10
Examples
0 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context

define_term

57 / 100Cloudy

Purpose
14 / 20
When to use
0 / 20
Arguments
23 / 25
Return value
8 / 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

quiz_me

59 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
20 / 25
Return value
15 / 15
Constraints and side effects
7 / 10
Examples
0 / 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

review_ai_incident

59 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
20 / 25
Return value
15 / 15
Constraints and side effects
7 / 10
Examples
0 / 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

count_tokens

60 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
23 / 25
Return value
8 / 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

design_eval_suite

62 / 100Cloudy

Purpose
20 / 20
When to use
0 / 20
Arguments
20 / 25
Return value
15 / 15
Constraints and side effects
7 / 10
Examples
0 / 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

plan_ai_launch

62 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
20 / 25
Return value
15 / 15
Constraints and side effects
10 / 10
Examples
0 / 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

review_launch_readiness

62 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
20 / 25
Return value
15 / 15
Constraints and side effects
10 / 10
Examples
0 / 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

list_experiments

65 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
23 / 25
Return value
8 / 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

review_ai_spec

65 / 100Cloudy

Purpose
20 / 20
When to use
0 / 20
Arguments
20 / 25
Return value
15 / 15
Constraints and side effects
10 / 10
Examples
0 / 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

price_ai_feature

67 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
20 / 25
Return value
15 / 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
  • Minor
    No `required` list, so every argument is optional.no_required

estimate_cost

68 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
23 / 25
Return value
8 / 15
Constraints and side effects
10 / 10
Examples
10 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context

prep_planning_meeting

69 / 100Cloudy

Purpose
17 / 20
When to use
5 / 20
Arguments
20 / 25
Return value
15 / 15
Constraints and side effects
7 / 10
Examples
5 / 10
  • Minor
    No `required` list, so every argument is optional.no_required

replay_experiment

72 / 100Clear

Purpose
17 / 20
When to use
0 / 20
Arguments
23 / 25
Return value
15 / 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

write_acceptance_criteria

77 / 100Clear

Purpose
17 / 20
When to use
10 / 20
Arguments
20 / 25
Return value
15 / 15
Constraints and side effects
10 / 10
Examples
5 / 10
  • Minor
    No `required` list, so every argument is optional.no_required

search_lessons

78 / 100Clear

Purpose
20 / 20
When to use
0 / 20
Arguments
23 / 25
Return value
15 / 15
Constraints and side effects
10 / 10
Examples
10 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context

compare_models

83 / 100Clear

Purpose
20 / 20
When to use
5 / 20
Arguments
23 / 25
Return value
15 / 15
Constraints and side effects
10 / 10
Examples
10 / 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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