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 full burden. It states this is an update operation, implying mutation, but doesn't disclose behavioral traits like required permissions, whether changes are reversible, rate limits, or what the output looks like. 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 extremely concise with two sentences that are front-loaded and waste no words. Every sentence earns its place by stating the purpose and clarifying parameter behavior, making it efficient 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 complexity (13 parameters, mutation operation) and rich schema (100% coverage, output schema exists), the description is adequate but incomplete. It covers the purpose and parameter update behavior, but lacks behavioral context (e.g., permissions, effects) that annotations would normally provide. With an output schema, return values are documented elsewhere, so this is minimally viable.

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%, with detailed descriptions for all 13 parameters in the input schema. The description adds minimal value beyond the schema by noting that parameters are optional and only provided values are changed, which clarifies the partial update behavior. This aligns with the baseline of 3 when 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 verb ('Update') and resource ('pipeline configuration'), making the purpose immediately understandable. However, it doesn't distinguish this tool from potential sibling configuration tools like 'setup' or 'manage_topics', which might also modify pipeline aspects, so it misses full differentiation.

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 no guidance on when to use this tool versus alternatives like 'setup' or 'manage_topics'. It mentions that parameters are optional, which is useful for usage but doesn't address context or prerequisites. Without explicit when/when-not statements, this is minimal guidance.

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