get_application

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

With no annotations, the description carries the behavioral disclosure burden. It communicates a read-style 'Get' operation and the returned content categories, but does not state whether AI analysis is precomputed or generated on demand, nor any permissions or error behavior. This is acceptable but not richly transparent.

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?

One sentence, front-loaded with the main action and resource, then specific content categories. There is no filler or redundancy; every phrase adds 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 one-parameter get-by-ID tool with no output schema, the description covers the main response areas (AI analysis, tailored resume, metadata). It is sufficient for an agent to know what it will get back, though it leaves minor ambiguity about exact response structure or error cases.

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 the single 'id' parameter is already documented as an Application ID (UUID). The description only reinforces the 'specific application' notion, adding no new format or syntax detail. Baseline 3 is appropriate because the schema handles parameter meaning.

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 uses a specific verb and resource ('Get full details for a specific job application') and enumerates what is included: AI analysis, tailored resume, and metadata. This clearly distinguishes it from the sibling list_applications (list vs. single record) and get_resume (single component vs. full details).

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 conveys clear usage context: call when you need details about one specific application by ID, rather than a list or dashboard stats. It does not explicitly name alternatives or exclusions, but the 'specific' qualifier gives sufficient routing guidance for this simple tool.

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