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Get a glossary term

get_glossary_term
Read-onlyIdempotent

Fetch one glossary term by slug, with its extended explanation and FAQ.

Input Schema

NameRequiredDescriptionDefault
slugYesGlossary term slug, e.g. 'mcp-model-context-protocol'.

Output Schema

NameRequiredDescriptionDefault
urlNo
slugNo
termNo
definitionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / slug / description
      Previous value: -"Glossary term slug, e.g. 'mcp-model-context-protocol'. Use list_glossary to find it."New value: +"Glossary term slug, e.g. 'mcp-model-context-protocol'."
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds that the payload includes the extended explanation and FAQ, which is modestly useful content scope, but it says nothing about missing/unknown slug behavior and the output schema already describes the return shape.

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?

One sentence, front-loaded with verb and resource, with the returned content trailing. Every clause earns its place and there is no filler.

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?

With an output schema present and 100% parameter coverage, the description need not explain return values; it correctly focuses on identity and scope. It is only slightly short of complete because it omits guidance on acquiring a slug and on how an unknown slug is handled.

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?

There is a single parameter with 100% schema description coverage, including an example slug value, so the schema carries the semantics. The description only restates that lookup is by slug and adds no format or edge-case detail beyond the schema.

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

Purpose4/5

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

The description names a specific verb (fetch) and resource (glossary term) and pins the lookup key (by slug), which cleanly separates it from the plural listing tool list_glossary. It stops short of explicitly naming or contrasting any sibling, so the differentiation is inferred rather than stated.

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

Usage Guidelines3/5

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

Usage is implied by 'by slug' – the agent understands this retrieves a single known term and that a slug is required. There is no explicit when-to-use, when-not-to-use, or pointer to how to obtain a slug (e.g. list_glossary or search) when it is unknown.

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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