execute_tool

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

The description discloses that the tool returns a result or error, and that args mismatch leads to an error. However, it doesn't warn about potential side effects of calling arbitrary tools (destructive actions), which is a notable gap given its role as an escape hatch.

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 concise and front-loaded with the purpose. It could be slightly more structured (e.g., bullet points), but it efficiently conveys key information in a few sentences.

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?

The tool has a moderate complexity as a meta-tool. The description explains the return format and error behavior, but lacks details on handling invalid tool names or other error scenarios. Given that it can call any tool, more safety-related context would enhance completeness.

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?

With 0% schema description coverage, the description compensates well by explaining that 'name' comes from discover_tools() and 'args' are keyword arguments. It also describes the return format, adding meaning beyond the 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 clearly states it invokes any registered tool by name, identifying it as a 'power user escape hatch'. This distinguishes it from sibling tools, which are specific data retrieval tools.

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 provides clear context: it's for advanced users, and suggests using discover_tools() to get valid tool names. Though it doesn't list when not to use it, the context is sufficient for an experienced agent.

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