Paper Distill MCP Server

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 mentions 'Generate all daily output files' which implies a write operation, but doesn't disclose behavioral traits like whether it overwrites existing files, requires specific permissions, handles errors, or has side effects. For a tool with 3 parameters and no annotations, this is a significant gap.

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, efficient sentence that front-loads the core action ('Generate all daily output files') and lists specific outputs. It's appropriately sized with no wasted words, though it could be slightly more structured (e.g., clarifying the tool's role in a workflow).

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 has an output schema (which covers return values), 3 parameters with full schema coverage, and no annotations, the description is minimally adequate. However, it lacks context on how this fits into the broader workflow with sibling tools, and behavioral details are missing, making it incomplete for a tool that generates multiple files.

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 fully documents parameters (papers, date, topics). The description doesn't add any meaning beyond what's in the schema—it doesn't explain how parameters relate to the output files or provide usage context. Baseline 3 is appropriate as the schema handles 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 all daily output files' with specific file types listed (pushes.jsonl, papers.jsonl, Astro site JSON, Obsidian notes). This is a specific verb+resource combination, though it doesn't explicitly differentiate from sibling tools like 'send_push' or 'finalize_review' which might handle related outputs.

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. The description lists what it generates but doesn't specify prerequisites, timing (e.g., after filtering or ranking), or exclusions. Sibling tools like 'finalize_review' or 'send_push' might overlap in function, but no comparison is made.

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