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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds that the tool uses shared tags, industry, region, and artifact coverage as matching criteria, which is useful behavioral context. It doesn't disclose pagination, ranking, or whether the input provider is excluded from results, but the annotation lowers the burden.

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?

The description is a single, compact sentence that front-loads the core purpose and lists the matching criteria efficiently. It earns its place without redundancy, though it could add a brief usage note without becoming bloated.

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 read-only similarity tool with one required parameter and no output schema, the description covers the main purpose and criteria. It lacks details on result ordering, whether the given provider is excluded, and how to interpret the output, but the simplicity of the tool and the readOnlyHint annotation make this adequate but not complete.

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 only 33% (only 'context' has a description). The description adds meaning for 'slug' by implying it identifies the given provider, and 'limit' is self-explanatory from the schema. However, it doesn't explain the exact format of slug or how limit interacts with the similarity ranking, so it only partially compensates for the low coverage.

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 description states a specific verb ('find') and resource ('similar providers'), and clarifies the similarity criteria: shared tags, industry, region, and artifact coverage. It distinguishes itself from generic find_providers by focusing on alternatives to a given provider, though it doesn't explicitly name a sibling alternative.

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?

The description implies usage: given a provider slug, return alternatives. It doesn't explicitly state when to prefer this over find_similar_apis or compare_providers, but the criteria and 'alternatives' wording provide enough context for an agent to infer the intended use case.

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