perplexity_ai_insights

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

The annotations already declare openWorldHint=true (external call), destructiveHint=false, and readOnlyHint=false. The description adds one useful behavioral fact beyond the annotations: the response is structured markdown answer text. It says nothing about latency, cost, quota behavior, or whether the call has side effects at the provider, which is relevant given readOnlyHint=false.

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 three short sentences and is front-loaded with the action and the return format. The final sentence is vague marketing jargon ('GEO'), but it is short enough not to seriously hurt usability.

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?

This is a simple one-parameter tool with no output schema, and the description does cover the return shape (markdown answer text). It leaves out the key discriminator against the sibling chatgpt_ai_insights, as well as any expectation about latency, cost, or prompt limits, so it is adequate but not 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 description coverage is 0% for the single required 'prompt' parameter, so the description has to carry the meaning itself. The phrase 'Send a prompt' names the input but adds no format, length, or content guidance (e.g. whether the prompt is a single question or a system-style instruction). It is only minimally compensating for the undocumented 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?

The description states a specific verb and resource: it sends a prompt to Perplexity and returns AI-generated answer text. The provider name implicit in the tool name, plus the mention of markdown answer output, makes the tool's purpose concrete. It does not explicitly distinguish itself from the sibling chatgpt_ai_insights, which is the one nearby tool that could easily be confused with it.

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 gives one hint about where to use the tool: 'Useful for GEO and LLM as a judge.' However, it never states when to choose the Perplexity variant over the sibling chatgpt_ai_insights, nor does it set exclusions or prerequisites (e.g. prompt length limits, rate limits, or credential requirements). By implication, the guidance is present but incomplete.

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