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musharna

plant-genomics-mcp

batch_string_interactions

Batch retrieve protein-protein interactions for up to 50 plant loci or accessions from STRING-DB in a single API call.

Instructions

Batch version of string_interactions. Up to 50 inputs per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
loci_or_accessionsYes
limitNo
organismNoPlant organism — accepts canonical slug (arabidopsis_thaliana), scientific or common name, or NCBI taxidarabidopsis_thaliana

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolYesThe batch tool name, e.g. batch_resolve_locus_to_uniprot
countYesNumber of loci in the input list
resultsYeslocus → per-locus result dict (same shape as the single-locus tool)
errorsYeslocus → '[ClassName] message' for PlantGenomicsError failures
Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It only mentions the input limit and that it is a batch version. It does not disclose whether the operation is read-only, any destructive actions, authentication needs, rate limits, or output format details.

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

Conciseness4/5

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

The description is extremely concise, consisting of two short sentences that front-load key information (batch version and input limit). While efficient, it may sacrifice necessary detail, but for conciseness it is well-structured.

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 that the tool has 3 parameters, an output schema, and a sibling tool, the description lacks contextual completeness. It does not explain function of each parameter, error handling, or how the batch process works beyond the input limit. The output schema exists but the description adds no context.

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

Parameters1/5

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

Schema description coverage is low (33%: only organism has a description). The description does not contribute any additional meaning to the parameters. It fails to explain the purpose of 'loci_or_accessions' or 'limit', leaving the agent to rely solely on the schema.

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 explicitly states it is a 'Batch version of string_interactions', which clearly defines the tool's purpose and differentiates it from its sibling. It also specifies the input limit of 50, adding specificity.

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 implies that this tool should be used when processing multiple inputs, distinguishing it from the single-input sibling. However, it does not explicitly state when not to use it or mention alternatives, only implying the batch nature.

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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