check_llmtxt_status

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 mentions the tool returns a dictionary with status and text content if completed, which is helpful. However, it lacks details on error handling, rate limits, authentication needs, or whether it's a read-only operation, leaving significant behavioral gaps.

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 appropriately sized and front-loaded, starting with the core purpose followed by structured sections for arguments and returns. Every sentence adds value without redundancy, making it efficient and easy to parse.

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?

Given the tool's low complexity (one parameter) and the presence of an output schema (implied by 'Returns' section), the description is reasonably complete. It covers the purpose, parameter meaning, and return value. However, it could improve by addressing behavioral aspects like error cases or usage context relative to siblings.

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?

The description adds meaningful context for the single parameter 'job_id' by specifying it's the 'ID of the llmfull.txt generation job to check'. Since schema description coverage is 0% (no schema descriptions provided), this compensates well, though it doesn't detail format or constraints. With 0 parameters documented in the schema, the baseline is 4.

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 with a specific verb ('Check') and resource ('status of an existing llmfull.txt generation job'), making it easy to understand what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'check_crawlhtml_status' or 'get_job_info', which appear to be related status-checking tools.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'check_crawlhtml_status' or 'get_job_info', nor does it specify prerequisites or exclusions. Usage is implied only through the description of checking job status.

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