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api-evangelist

by com.apievangelist
OverviewDiscussionsAdmin

find_tools

Read-only

The open-source tooling registry — 400+ tools in use across the companies API Evangelist tracks, each with adoption counts and technology-radar placement.

Input Schema

NameRequiredDescriptionDefault
qNoFree text over title, summary, tags, and body.
pageNoPage number, 1-based (default 1). Use with `limit` to walk a long list.
sortNoOrder when there is no `q`: "default" (dated content newest first, the rest A-Z), "title" (A-Z) or "date" (newest first). A `q` always orders by relevance.
tagsNoTag slugs; match any by default.
limitNoResults per page, 1-100 (default 25).
matchNoHow multiple `tags` combine: "any" (default, at least one) or "all" (every tag).any
fieldsNoReturn only these keys on each record, e.g. ["slug","title","url"].
contextNoOptional: why you are asking. One sentence — the task you are trying to complete, or what you expect to get back. Never included in the answer and never used to rank; it is read only when a result turns out to be wrong, which is when knowing the intent is what makes the report actionable.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed5 schema fields changed
    • addedInput schema / properties / fields / description
      Added value: +"Return only these keys on each record, e.g. [\"slug\",\"title\",\"url\"]."
    • addedInput schema / properties / limit / description
      Added value: +"Results per page, 1-100 (default 25)."
    • addedInput schema / properties / match / description
      Added value: +"How multiple `tags` combine: \"any\" (default, at least one) or \"all\" (every tag)."
    • addedInput schema / properties / page / description
      Added value: +"Page number, 1-based (default 1). Use with `limit` to walk a long list."
    • addedInput schema / properties / sort / description
      Added value: +"Order when there is no `q`: \"default\" (dated content newest first, the rest A-Z), \"title\" (A-Z) or \"date\" (newest first). A `q` always orders by relevance."
  2. Changed1 schema field changed
    • addedInput schema / properties / context
      Added value: +{
+  "description": "Optional: why you are asking. One sentence — the task you are trying to complete, or what you expect to get back. Never included in the answer and never used to rank; it is read only when a result turns out to be wrong, which is when knowing the intent is what makes the report actionable.",
+  "type": "string"
+}
  3. Added

TDQS

C2.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds useful context about the dataset (400+ tools, adoption counts, technology-radar placement), which helps the agent anticipate results, but says nothing about pagination behavior or response shape.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence with no filler. It is efficient, though it spends its one sentence characterizing the dataset rather than the operation, so it is well-sized but slightly misdirected.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an 8-parameter, no-output-schema tool, the description is thin: it gestures at return content (adoption counts, radar placement) but omits the operation itself, usage context, and anything about result shape. The schema carries the parameter burden, but the description does not fully complete the picture.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% — all 8 parameters are richly documented in the schema itself (sort semantics, tag matching, pagination, the unusual 'context' param). The description adds no parameter meaning beyond what the schema already provides, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource ('the open-source tooling registry — 400+ tools') and hints at return content, but never states the operation (search/list/find). It is a noun phrase describing a dataset rather than a specific verb+resource, leaving the agent to infer from the name that it searches tools. It does not explicitly distinguish itself from siblings like get_tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no named alternative. The description never tells the agent when to call find_tools versus get_tool or the other find_* siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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