get_deployed_prompt

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

Discloses HTTP method, endpoint, availability (Free), return fields (template/variables/labels/version), and error case (404 when nothing deployed). No annotations to contradict.

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?

Three sentences, front-loaded with main action, no unnecessary words.

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 simple read operation with 2 parameters and no output schema, the description covers key aspects: purpose, return fields, error condition, and endpoint info.

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 coverage is 100% with descriptions for both name and label parameters. Description adds minimal value by grouping them as 'environment (name + label)', but does not provide additional details beyond schema.

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?

Description clearly states verb 'Resolve and return' and resource 'prompt version currently deployed', and distinguishes from siblings like get_prompt by specifying 'deployed' and 'main runtime path for an agent to fetch the production prompt'.

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?

Provides context 'main runtime path for an agent to fetch the production prompt' implying when to use, but does not explicitly state when not to use or directly contrast with alternative tools like get_prompt.

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