set_pyfilter_code

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

With no annotations provided, the description carries the full burden. It mentions server-side compilation and error responses (400) on syntax/import errors, which adds transparency. However, it omits details like whether changes take effect immediately, authentication requirements, or side effects on existing filters.

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 extremely concise: two sentences with no fluff. The purpose is front-loaded, and every sentence adds necessary information about compilation and error handling.

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 existence of an output schema (not shown) and the simplicity of the tool (2 required params, no enums), the description covers the core behavior. However, it lacks parameter explanations and does not mention potential side effects or state changes, making it moderately complete.

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 0%, and the description does not explain the parameters ('service_id' and 'code'). It provides context about code requirements but does not link them to the parameters, leaving the agent to rely solely on the schema names.

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 action ('Replace') and the resource ('Python filter source for a service'). However, it does not distinguish this tool from its sibling 'set_pyfilter_code_from_file', which performs a similar operation but from a file source.

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, such as 'set_pyfilter_code_from_file' or 'enable_pyfilter'. No context is given about prerequisites or when not to use it.

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