glossary_by_slug
Glossary term
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Term slug, e.g. `wn8`. | |
| language | No |
Glossary term
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Term slug, e.g. `wn8`. | |
| language | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden and discloses nothing — not that this is a read-only lookup, not what happens when the slug is unknown, and not whether a default language is assumed.
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?
Two words are brief but this is under-specification rather than conciseness — there is no front-loaded purpose and no useful information to be concise about.
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?
For a two-parameter lookup tool with no annotations and no output schema, the description provides none of the context an agent needs — no return shape, no lookup semantics, no guidance on the undocumented language parameter.
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?
Schema description coverage is 50%: slug is documented in the schema (with an example) but language has no description anywhere. The description adds no meaning beyond the schema, so it fails to compensate for the undocumented half.
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?
"Glossary term" names the resource but supplies no verb — it does not say whether this fetches, resolves, or describes a term. It also fails to distinguish this tool from close siblings like glossary, glossary_search, and glossary_anchors.
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 when-to-use guidance, no mention of alternatives, and no exclusion criteria. With several glossary-related siblings, an agent is left to guess which one to call for a slug lookup.
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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