get_paraphrased_monologue

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

With no annotations, the description carries the behavioral burden and does it well by revealing that the paraphrase is AI-generated, may be null, and that the url preserves the monologue. It doesn't cover errors or latency, but for a simple read operation the key fallback behavior is disclosed.

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?

Two sentences, with the main purpose first and the null caveat second. No filler; every clause adds information about output, generation status, or fallback behavior.

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 tool with two straightforward parameters and no output schema, the description covers the return concept, the null case, and the URL fallback. It could specify exact response property names, but an agent can infer enough to invoke it correctly.

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 id and monologue_id already described. The description adds no parameter behavior beyond naming the resource, so it meets the baseline but does not elevate it.

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 opens with a clear verb and resource: 'Fetch a monologue's full text alongside its modern-English, line-by-line paraphrase.' This is unambiguous and the paraphrase element distinguishes it from the sibling get_monologue, even though that sibling is not named.

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?

It implies the tool is for retrieving text plus paraphrase, and it warns the paraphrase can be null, which is useful. However, it never states when to prefer this over get_monologue or other siblings, nor gives any explicit 'use instead' routing.

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