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reactome-mcp

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by reactome

reactome_static_interactors

Find curated protein-protein interactions for any protein by providing its accession to Reactome's static interactor database.

Instructions

Get curated protein-protein interactions from Reactome's static interactor database.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accessionYesProtein accession (e.g., UniProt ID)
Behavior2/5

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It only states the action but omits details such as whether the data is limited to a species, how many interactions are returned, or whether any filters apply.

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?

The description is a single sentence that immediately states the tool's purpose without fluff. It adequately covers a simple one-parameter tool.

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?

The tool has no output schema, so the description should explain return structure. It does not, leaving the agent uninformed about the response format or content beyond 'interactions'. Given the low complexity, more detail is expected.

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?

The schema provides 100% parameter coverage, documenting 'accession' as a Protein accession (e.g., UniProt ID). The description does not add extra meaning beyond the schema, so a baseline score of 3 is appropriate.

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

Purpose4/5

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

The description uses a clear verb ('Get') and a specific resource ('curated protein-protein interactions from Reactome's static interactor database'). It is distinguishable from siblings by its focus on the static interactor database, though it doesn't explicitly contrast with other interactor tools.

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?

The description provides no guidance on when to use this tool versus alternatives like reactome_psicquic_summary or reactome_interactor_summary. There is no mention of use cases, prerequisites, or alternatives.

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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