JIT Tool Synthesis

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

No annotations are provided, so the description carries the full burden. It discloses that the tool generates a pending tool requiring approval, which is useful behavioral context. However, it lacks details on permissions needed, rate limits, error conditions, or what 'pending' entails operationally (e.g., storage, visibility). For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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 two sentences that are front-loaded and efficient: the first states the action and input, the second specifies the output and approval requirement. Every sentence earns its place with no wasted words, making it highly concise and well-structured.

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?

Given the tool's complexity (generating new tools with 3 parameters), lack of annotations, and no output schema, the description is minimally adequate. It covers the core purpose and approval workflow but misses details like error handling, return format, or integration with siblings. It's complete enough for basic understanding but has clear gaps for effective agent use.

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 schema already documents all three parameters ('description', 'example_input', 'example_output') with their purposes. The description doesn't add any parameter-specific semantics beyond what the schema provides, such as formatting tips or interdependencies. Baseline 3 is appropriate when the schema does the heavy lifting.

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 the tool's purpose: 'generate a working tool' based on a described capability, with the specific outcome of returning 'a pending tool that needs approval'. It uses specific verbs ('generate', 'returns') and identifies the resource ('tool'), but doesn't explicitly differentiate from siblings like 'approve_tool' or 'execute_tool' in terms of workflow role.

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 implies usage context by stating it 'generates a working tool' and that the result 'needs approval before it becomes available', which suggests it's part of a tool creation workflow. However, it doesn't explicitly state when to use this versus alternatives like 'approve_tool' or 'execute_tool', nor does it provide clear exclusions or prerequisites for use.

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