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

No annotations are provided, so the description carries the full burden. It discloses the output fields (price, liveness, upvotes, how_to_connect) and the ranking basis (text-embedding nearness), plus the cheaper_only flag behavior. However, it does not explicitly state whether this is a read-only operation, though it is implied. It lacks details on potential rate limits, auth, or error behavior, but for a suggestion tool this may be acceptable. Overall, the description adds meaningful behavioral context but could be more explicit about its non-mutating nature.

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 thorough but somewhat verbose, packing many details into a single run-on sentence. Still, every sentence adds value (use case, ranking method, fields returned, aliases, redundancy note). It could be split into shorter sentences for readability, but it is not wasteful. A 4 reflects good content with minor structure inefficiency.

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?

The description covers the trigger scenario, ranking approach, output fields, filtering option, and crucially notes that the same alternatives appear in other tools, saving the agent from redundant calls. This is a complete picture for selection and usage. The lack of an output schema is mitigated by describing what is returned. No obvious missing context.

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?

All 3 parameters are documented with clear descriptions: agent_id is the required handle, limit controls count, cheaper_only filters by price. The schema coverage is 100%, and the description adds nuance about cheaper_only (free providers qualify, no-observed-price excluded). A minor gap is that agent_id aliases are mentioned only in the description, not the schema, but that adds clarity. Deduct a point for not specifying the return format or pagination, but overall strong.

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 clearly states the tool's purpose: suggest alternatives for a shortlisted provider when too expensive, unreachable, or poor fit. It specifies the ranking method (text-embedding nearness) and explicitly notes it is NOT category lookup, distinguishing it from sibling tools like search_providers.

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?

Explicitly states when to use: when a shortlisted provider is too expensive, unreachable, or a poor fit. It also provides exclusions: alternatives are already surfaced in research_capability and compare_providers, so calling separately is rarely needed. This clear guidance helps the agent decide when to invoke.

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