describe_method
The published measurement method. No scores.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
The published measurement method. No scores.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds only the negative detail "No scores"; it says nothing about the shape, length, or nature of the returned methodology content.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
It is only two fragments, so nothing is padded, but the terseness reads as under-specification rather than efficiency. "No scores" is front-loaded without context explaining why scores would otherwise be expected.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and no annotations covering return content, the description is the only source of information about what an agent receives, and it only says what is not returned. For a documentation-lookup tool an agent needs to know the content type at minimum.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The empty schema is self-explanatory and the description does not mislead about inputs.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
"The published measurement method" largely restates the name describe_method without a clear verb or explanation of what is actually returned; it never says whether this returns documentation text, a citation, or metadata. "No scores" is the only distinguishing detail, and it describes what is absent rather than what the tool does.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no explicit when-to-use guidance and no sibling tool is named. "No scores" implicitly steers an agent away from expecting data, which nudges toward get_movers or list_questions, but the agent must infer that routing on its own.
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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