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Prediction

prediction
Read-onlyIdempotent

Full prediction metadata + structure file URLs (PDB, CIF, PAE).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qualifierYesUniProt accession, e.g. "P00533"

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
plddtNoMean predicted local distance difference test score
entryIdNoAlphaFold entry identifier
mgnifyIdNoMGnify identifier
organismNoOrganism name
sequenceNoAmino acid sequence
uniprotIdNoUniProt ID
structuresNoAvailable structure files
discoveredDateNoISO date when structure was discovered
sequenceLengthNoLength of protein sequence
alphafoldVersionNoAlphaFold version used
modelCreatedDateNoISO date when model was created
uniprotAccessionNoUniProt accession code

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the read-only nature is covered. The description adds that it provides 'full' metadata and specifically PDB, CIF, and PAE URLs, which goes slightly beyond the annotations. However, it does not disclose any other behavioral traits such as potential rate limits or whether certain parameters could return empty results. This is adequate given the simplicity and annotation coverage.

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 a single, concise sentence that front-loads the key output types (metadata and structure URLs). It is efficient and avoids unnecessary words, though the word 'full' is arguably redundant. It could have provided slightly more structure by naming the tool's action, but it remains appropriately brief.

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

Completeness3/5

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

Given the simple parameter set and the presence of an output schema, the description is minimally viable. It tells the agent what to expect (metadata and URLs) but does not explain the context (e.g., that these are protein structure predictions from AlphaFold) or when such data would be useful. The output schema likely provides the return structure, so the description is adequate but leaves room for more context.

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 input schema has 100% coverage for the single parameter 'qualifier', which is described as a UniProt accession. The description does not add any additional meaning about the parameter beyond what the schema already provides. With high schema coverage, the baseline of 3 applies, and the description adds no extra value here.

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 states it provides 'Full prediction metadata + structure file URLs (PDB, CIF, PAE)', which clearly identifies the resource (protein structure prediction data) and the outputs (metadata and structure file URLs). However, it lacks an explicit verb like 'retrieve' or 'get', making it slightly less action-oriented than ideal. It does distinguish from siblings like 'uniprot' by focusing on prediction-specific data.

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 is given on when to use this tool versus alternatives. It does not mention that it should be used for protein structure prediction tasks or that other tools like 'uniprot' should be used for sequence information. The description is purely a data summary and offers no contextual usage instructions.

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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