Analyze code with Cloudflare GLM

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

With no annotations provided, the description carries the full burden, and it succeeds in an important way: 'Read-only' discloses the safety profile, while 'fixed model' and 'low reasoning effort' set expectations about determinism and output quality. It does not describe output format or potential rate limits, but for a read-only analysis tool this is reasonable.

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 short sentences, zero filler. The core behavior is front-loaded and the usage directive is immediate. Every word earns its place.

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 two-parameter read-only tool, the description gives model identity, safety profile, reasoning effort, and default usage priority. It is slightly thin on what the response looks like, but with 100% schema coverage and no output complexity this is acceptable.

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 100%, so the parameter meanings are already fully documented in the schema. The description adds no further param detail, so the baseline of 3 is appropriate.

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 this is a read-only code analysis tool and identifies the exact model (Cloudflare Workers AI GLM 4.7 Flash). The phrase 'Read-only code analysis' gives a specific verb and resource, and the tool is differentiated from its siblings by being the recommended Cloudflare/GLM option.

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?

'Use this first' provides explicit selection guidance, telling the agent this is the default among sibling analysis tools. It does not explain when to prefer analyze_code_mimo or analyze_code_nemotron, but the priority is clearly established.

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