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Eclipse-Cj

Paper Distill MCP Server

manage_topics

Manage your research topic preferences by blocking or unblocking topics and adjusting their weight to control which papers appear in your feed.

Instructions

Manage research topic preferences.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNoTopic key (required for block/unblock/set_weight, e.g. "llm-news")
actionYesOne of "list", "block", "unblock", "set_weight"
weightNoNew weight value (only for set_weight action, 0.0-1.0)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries full burden but only states a vague purpose. No disclosure of side effects, permissions, or behavioral traits beyond 'manage'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Very brief (one phrase), no structural elements. While concise, it lacks substance; however, it does not contain unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given moderate complexity (3 parameters, multiple actions), the description is too sparse. It doesn't explain the tool's behavior or output despite having an output schema, leaving gaps for an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with clear descriptions for each parameter (action, topic, weight). The description adds no additional meaning beyond the schema, so baseline score applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Manage research topic preferences' provides a general purpose but lacks specificity about the supported actions (list, block, unblock, set_weight) and does not differentiate from sibling 'add_topic'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives like 'add_topic'. The description does not specify context or exclusions.

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

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