extract_limitations

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The description says 'identify', implying a read-only analysis, but does not explicitly state that the tool makes no modifications, nor does it mention any permissions, limitations, or side effects. It also does not hint at the output format, though an output schema exists.

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 a single clear sentence that front-loads the purpose. It contains no filler or redundant phrases and is appropriately concise for the tool's simplicity.

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 simple extraction tool with only two string parameters and an output schema available, the description covers the essential context: it identifies limitations from paper information, implying the inputs are the title and abstract. It does not specify edge cases or expectations beyond that, but given the simplicity, this is adequate. The presence of an output schema mitigates the need to describe return values.

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 explain the parameters, but it does not. It refers generically to 'provided paper information' without explicitly naming 'title' and 'abstract' or clarifying their role. The schema itself is simple (two strings), and the description adds no detail about how these inputs are used or any constraints on them.

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 function: identifying limitations and weaknesses in provided paper information. It uses a specific verb ('identify') and resource ('paper information'), and it is distinct from siblings like extract_methodology or summarize_paper, which focus on different aspects.

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 intended use is implied by the tool's name and description—if an agent needs limitations, this is the obvious choice. However, there is no explicit guidance on when to use this tool over alternatives, nor any conditions that would make it inappropriate. The usage context is clear but not stated.

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