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

With no annotations, the description carries the full burden. It does disclose the return shape (matching terms with definitions and canonical URLs), which is valuable since there is no output schema, but it says nothing about result ordering, whether the search is exhaustive, or how matching is ranked. For a low-risk read-only lookup this is adequate but not rich.

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 sentences, zero waste, with the search scope front-loaded before the return-value note. Nothing could be removed without losing information.

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 read-only search with full schema coverage and no output schema, the description supplies the missing return-shape detail (definitions plus canonical URLs). Only ranking/ordering of matches is left unstated, a minor gap.

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 100%, so both query (case-insensitive substring over names, categories, definitions) and limit (default 10, max 25) are fully documented in the schema. The description adds no parameter detail beyond the corpus size, so baseline 3 applies.

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?

States a specific verb (Search) and a clearly bounded resource (the GenAI Maturity Framework glossary of 100 curated terms), and adds scope the name alone doesn't convey. The corpus it targets is distinct from every sibling (use cases, dimensions, maturity levels, whitepapers), so an agent can route to it without opening the schema.

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?

Usage is only implied by the resource: 'search the glossary' suggests looking up terminology rather than looking up framework structure. There is no explicit when-to-use statement, no exclusion, and no pointer to alternatives such as get_dimension or find_use_cases for non-glossary lookups.

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