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find_measured_standards

Read-only

The standards bodies API Evangelist has actually MEASURED — repositories, maturity, governance, coalition. Distinct from find_standards, which searches 613 catalog entries describing what a standard IS. Free.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number, 1-based (default 1). Use with `limit` to walk a long list.
limitNoResults per page, 1-100 (default 25).
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. Changed2 schema fields changed
    • addedInput schema / properties / limit / description
      Added value: +"Results per page, 1-100 (default 25)."
    • addedInput schema / properties / page / description
      Added value: +"Page number, 1-based (default 1). Use with `limit` to walk a long list."
  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

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds useful non-structured context: what the tool actually returns (measured repositories, maturity, governance, coalition) and that it is 'Free' – a pricing/cost signal an agent cannot get from the annotations.

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

Conciseness5/5

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

Two compact sentences, front-loaded with the resource and its distinguishing trait, followed by the sibling contrast. No filler; the capitalization of MEASURED does useful disambiguating work.

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

Completeness4/5

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

For a read-only, paginated, no-required-param list tool with a fully documented schema and no output schema, the description is nearly sufficient – it names the data dimensions it returns and its cost profile. Only minor gaps (explicit return shape/pagination guidance) remain, which the schema largely covers.

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%, so page, limit, and context are fully documented in the schema itself. The description adds no parameter-level detail beyond that, making the baseline 3 correct.

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

Purpose5/5

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

States a specific verb and resource ('standards bodies API Evangelist has actually MEASURED') plus the concrete dimensions returned (repositories, maturity, governance, coalition). It explicitly distinguishes itself from find_standards, so an agent can route without opening a schema.

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

Usage Guidelines4/5

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

Explicitly contrasts with find_standards ('613 catalog entries describing what a standard IS'), giving clear context for when measured data is the right choice over catalog metadata. It stops short of stating hard exclusions or prerequisites, but the when-to-use signal is strong.

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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