analyze_geo

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

With no annotations, the description carries the full behavioral burden, but it says nothing about whether the call fetches the URL live, whether it is read-only or has side effects, expected runtime, or cost. The only behavioral clue is that it is an 'audit' producing AI-readiness findings, which is thin for a network-touching analysis tool.

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?

A single compact sentence with the core action front-loaded and no filler. It is a fragment rather than prose, but nothing in it is wasted; the brevity is only a problem insofar as content is missing, not because of verbosity.

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?

An output schema exists, so return values need not be described, but for a two-parameter, network-dependent analysis tool with zero annotations the definition leaves key questions open: what the audit actually returns conceptually, how render_js affects it, and how it relates to analyze_seo or crawl_url. Not adequate for the tool's complexity.

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%, so the description must compensate, and it does not: the 'url' parameter is self-evident, but 'render_js' (default false) is never mentioned or explained. The agent gets no guidance on when JavaScript rendering is required or what the tradeoff is.

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?

States a specific verb+resource ('Run Generative Engine Optimization (GEO) audit') and enumerates the audit dimensions (brand entities, citations, Q&A blocks, AI-readiness). This distinguishes it reasonably from siblings like analyze_seo and extract_entities, though it never explicitly contrasts itself with analyze_seo, which is the closest alternative.

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?

No when-to-use, when-not-to-use, or prerequisite guidance is given. An agent must infer on its own whether to pick this over analyze_seo or extract_entities, and there is no hint about prerequisites such as the page needing to be reachable or already crawled.

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