read_doaj_paper

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

No annotations are provided, so the description carries full burden. It mentions that the tool extracts text content and saves a PDF to a directory, but lacks critical behavioral details: whether it downloads the paper first (implied but not explicit), potential rate limits, error handling (e.g., if the paper_id is invalid), or permissions required. For a tool with no annotations, this leaves significant gaps in understanding its operation.

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 well-structured with a clear purpose statement followed by Args and Returns sections. It's front-loaded and wastes no words, though the 'Args' and 'Returns' labels are slightly redundant given the structured schema. Every sentence earns its place by adding value.

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 no annotations, 0% schema coverage, but an output schema exists (so return values are documented), the description is moderately complete. It covers the core purpose and parameters but misses behavioral aspects like error handling, dependencies (e.g., network access), or performance implications. For a tool that likely involves downloading and processing, more context would be helpful.

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. It provides clear semantics for both parameters: 'paper_id' as a DOAJ paper identifier and 'save_path' as the directory for PDF saving with a default. This adds meaningful context beyond the bare schema, though it doesn't specify format details (e.g., paper_id structure or save_path validation).

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 specific action ('Read and extract text content') and resource ('from a DOAJ paper'), distinguishing it from sibling tools like 'download_doaj' (which likely downloads files) and 'search_doaj' (which searches metadata). The verb+resource combination is precise and unambiguous.

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 guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., whether the paper must be accessible or if authentication is needed), nor does it differentiate from similar tools like 'read_arxiv_paper' or 'download_doaj' in terms of use cases. The description only states what it does, not when to choose it.

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