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Zipp: tool descriptions scored

tools/list taken
(UTC)
From
smithery.ai/servers/deficlow/zipp
Homepage
zippfeed.com
Scoring rules
v2

Scores, issues and names only

This page shows how Zipp'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.

This copy comes from Smithery's registry, which keeps each tool's name, description and input schema, but no output schema, annotations or instructions. Points for return values and for marking destructive tools can come out lower than the server's own tools/list would give.

A server with a public URL can be scored as it is today: score from a URL

servers/deficlow-zipp
Average score
39.2 / 100Rain
Tools
6
Near-identical descriptions
0

Across the server

No server-wide issues.

Tools

get_post

27 / 100Rain

Purpose
17 / 20
When to use
0 / 20
Arguments
2 / 25
Return value
8 / 15
Constraints and side effects
0 / 10
Examples
0 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context
  • Major
    Arguments without a description: lang, slug_or_id.param_no_description
  • Minor
    String arguments with no constraint or example: slug_or_id.loose_string_param
  • Minor
    No `required` list, so every argument is optional.no_required
  • Minor
    No constraints, side effects, auth or rate limits described, and no annotations.no_constraints

list_categories

35 / 100Rain

Purpose
17 / 20
When to use
5 / 20
Arguments
5 / 25
Return value
8 / 15
Constraints and side effects
0 / 10
Examples
0 / 10
  • Major
    Arguments without a description: lang.param_no_description
  • Minor
    No `required` list, so every argument is optional.no_required
  • Minor
    No constraints, side effects, auth or rate limits described, and no annotations.no_constraints

get_breaking

40 / 100Cloudy

Purpose
17 / 20
When to use
5 / 20
Arguments
5 / 25
Return value
8 / 15
Constraints and side effects
0 / 10
Examples
5 / 10
  • Major
    Arguments without a description: lang, limit.param_no_description
  • Minor
    No `required` list, so every argument is optional.no_required
  • Minor
    No constraints, side effects, auth or rate limits described, and no annotations.no_constraints

get_featured

42 / 100Cloudy

Purpose
14 / 20
When to use
15 / 20
Arguments
5 / 25
Return value
8 / 15
Constraints and side effects
0 / 10
Examples
0 / 10
  • Major
    Arguments without a description: lang, limit.param_no_description
  • Minor
    No `required` list, so every argument is optional.no_required
  • Minor
    No constraints, side effects, auth or rate limits described, and no annotations.no_constraints

search

44 / 100Cloudy

Purpose
17 / 20
When to use
5 / 20
Arguments
2 / 25
Return value
15 / 15
Constraints and side effects
0 / 10
Examples
5 / 10
  • Major
    Arguments without a description: lang, limit, query, category.param_no_description
  • Minor
    String arguments with no constraint or example: query.loose_string_param
  • Minor
    No `required` list, so every argument is optional.no_required
  • Minor
    The description mentions none of its 3 or more arguments.params_not_in_description
  • Minor
    No constraints, side effects, auth or rate limits described, and no annotations.no_constraints

get_latest

47 / 100Cloudy

Purpose
17 / 20
When to use
5 / 20
Arguments
5 / 25
Return value
15 / 15
Constraints and side effects
0 / 10
Examples
5 / 10
  • Major
    Arguments without a description: lang, limit, category.param_no_description
  • Minor
    No `required` list, so every argument is optional.no_required
  • Minor
    No constraints, side effects, auth or rate limits described, and no annotations.no_constraints

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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