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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explicitly states that the tool is deterministic (identical answers give identical results), that it is an estimate and not a quote, and that it returns no price figure. It also enumerates the output components. This goes beyond a simple 'returns a recommendation' and gives the agent useful expectations. It does not explicitly state that the tool has no side effects, but the nature of a recommendation engine implies read-only behavior. The disclosures are strong.

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 moderately long but each sentence adds value: it states the purpose, the deterministic nature, the output scope, and the limitation about pricing. It is front-loaded with the core action and output. It could be slightly more concise, but it is well-structured and not redundant.

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?

There is no output schema, so the description must explain return values. It does: recommendation, confidence level, alternatives, price drivers, risks, and reasoning. It also clarifies the estimate nature and absence of price. For a tool with 7 parameters, the schema covers parameter meaning, and the description covers output and limitations. It is complete enough for an agent to invoke correctly, though it could mention behavior for missing/unknown values (though no parameters are required).

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%, and each parameter (db, app, goal, mode, server, source, components) has a detailed description and enum with meaning. The tool description adds no additional parameter semantics beyond what the schema already provides. Per the rubric, when coverage is high, the baseline is 3, and the description does not elevate it further.

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 verb 'Recommend' and the resource 'migration path' for a legacy IIS website, and specifies the input (answers to assessment questions) and the output (recommendation, confidence, alternatives, etc.). It also notes it is the same deterministic engine as the website's two-minute assessment, which helps distinguish it from sibling tools like get_migration_paths. This is a specific and unambiguous purpose.

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 does not provide any guidance on when to use this tool versus alternatives. It mentions the input source (two-minute assessment questions) but does not explicitly state conditions for use, when not to use it, or how it relates to sibling tools like get_migration_paths or get_pathfinder_questions. There is no 'use this when' or 'use that instead' language.

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