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Analyze Structural Confidence (pLDDT + PAE)

analyze_structural_confidence
Read-onlyIdempotent

Analyze AlphaFold structural confidence using pLDDT and PAE.

Instructions

Analyze AlphaFold structural confidence using pLDDT and PAE.

Returns a structural reliability summary (not a per-residue profile):

  • pLDDT: the model's mean confidence (AlphaFold DB globalMetricValue) plus a coarse confidence tier

  • PAE (predicted aligned error): mean and max inter-residue uncertainty and PAE-derived domain boundaries

  • Druggability pre-screen: an ordered-fraction estimate and a structure-based-drug-design suitability flag

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.5.2
    • changedInput schema / properties / params / properties / uniprot_id / description
      Previous value: -"UniProt accession, e.g. 'P38398' (BRCA1)."New value: +"UniProt accession (6/10 characters), optionally with isoform suffix (e.g. P04637-2)."
    • changedInput schema / properties / params / properties / uniprot_id / pattern
      Previous value: -"^[A-Z][0-9][A-Z0-9]{3}[0-9](?:[A-Z][0-9][A-Z0-9]{3}[0-9])?$"New value: +"^(?:[OPQ][0-9][A-Z0-9]{3}[0-9]|[A-NR-Z][0-9](?:[A-Z][A-Z0-9]{2}[0-9]){1,2})(?:-[1-9][0-9]*)?$"
  2. First observedv1.1.8

TDQS

B3.3/5.0
Behavior4/5

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

Annotations already disclose readOnly, idempotent, and openWorld behavior. Beyond that, the description adds genuinely useful context: it explicitly notes the return is a summary-level reliability report, 'not a per-residue profile', defining output scope, and describes the three analytical components (pLDDT mean + tier, PAE mean/max + domain boundaries, druggability pre-screen).

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?

Front-loaded with the core action in the first sentence, then a clearly bulleted breakdown of the three outputs. No filler, though the parenthetical pLDDT/PAE expansions sit slightly close to the title's already-redundant content.

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

Completeness4/5

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

An output schema exists, so return values need not be fully described, yet the description usefully characterizes the summary nature of the output. With annotations covering the safety profile and a single parameter, the definition is nearly complete; the missing input guidance is the main gap.

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

Parameters2/5

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

The description says nothing about the single input parameter (uniprot_id), providing no format, scope, or isoform guidance. With schema description coverage reported at 0%, the description fails to compensate for the undocumented parameter.

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 a specific verb+resource (analyze AlphaFold structural confidence via pLDDT and PAE) and enumerates the exact outputs, so an agent knows precisely what the tool produces. However, it never distinguishes itself from overlapping siblings such as assess_target_druggability (which the 'druggability pre-screen' clause clearly overlaps) or score_binding_pocket_geometry.

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?

There is no when-to-use, when-not-to-use, or alternative-tool guidance. The description only says what it analyzes, leaving the agent to infer that this is for assessing confidence in an existing AlphaFold model rather than choosing among the many structural siblings.

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