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Eclipse-Cj

Paper Distill MCP Server

configure

Update ranking weights, summarizer, review mode, screening criteria, and other pipeline settings to customize paper discovery and notification workflow.

Instructions

Update pipeline configuration.

All parameters are optional — only provided values are changed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
w_impactNoRanking weight for citation impact (default 0.15)
w_noveltyNoRanking weight for novelty/unseen (default 0.10)
w_recencyNoRanking weight for publication recency (default 0.20)
summarizerNoWho handles paper summarization to save tokens. Options: - "self" (default): main agent summarizes (most expensive) - agent name (e.g. "scraper"): delegate to a cheaper agent - API URL: call an external summarization endpoint
review_modeNo"single" (one AI reviews) or "dual" (two AIs review independently)
w_relevanceNoRanking weight for topic relevance (default 0.55)
custom_focusNoCustom screening criteria (e.g. "prefer clinical trials over reviews")
scan_batchesNoNumber of scan batches per pool cycle (default 2, pool is reviewed over batches+1 days)
site_repo_pathNoLocal path to the paper library site repo (for pushing digest JSON)
paper_count_modeNo"at_most", "at_least", or "exactly"
site_deploy_hookNoVercel deploy hook URL for auto-deploying paper library website
paper_count_valueNoNumber of papers per push (e.g. 6)
picks_per_reviewerNoPapers each reviewer selects per scan (default 5)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states 'update pipeline configuration' but fails to mention persistence, side effects, or scope of changes (e.g., session vs global). The schema provides defaults, but the description does not clarify whether omitted parameters revert to defaults or remain unchanged.

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

Conciseness5/5

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

Two concise sentences, front-loaded with the purpose, and zero unnecessary words. Every sentence earns its place.

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?

Despite having a complex tool with 13 parameters and an output schema, the description is too brief. It lacks context about the effect of changes (e.g., whether they persist, affect running pipelines, or require session restart). The output schema may cover returns, but the description should explain when to use this tool vs 'setup' or other sibling tools.

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

Parameters4/5

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

The input schema has 100% coverage with detailed descriptions for each parameter. The description adds valuable information: 'All parameters are optional — only provided values are changed,' which clarifies the update semantics beyond the schema's per-parameter defaults.

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

Purpose5/5

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

The description clearly states the tool's purpose: 'Update pipeline configuration.' This is a specific verb+resource combination that is distinct from all sibling tools, which are focused on data operations, not configuration changes.

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

Usage Guidelines4/5

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

The description explains that all parameters are optional and only provided values are changed, which is key usage guidance. However, it does not explicitly differentiate from the sibling 'setup' tool or provide exclusions, though the context implies this is for updates rather than initial setup.

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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