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CovaSyn Chemistry Tools

covams_analyze_unknown

Full automated analysis of an unknown MS/MS spectrum (quality + processing + identify + classify + annotate).

Input Schema

NameRequiredDescriptionDefault
peaksYes
adductNo[M+H]+
api_keyNo
databasesNo
index_pathNo
library_dirsNo
precursor_mzYes
tolerance_ppmNo
max_candidatesNo
ionization_modeNopositive
scoring_backendNohybrid
processing_stepsNo
enable_processingNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It does not disclose that analysis may hit external databases/API (implied by the api_key parameter), whether it is slow or billable, what happens when databases/index_path are omitted, or how errors/rate limits surface. 'Full automated' conveys sequencing but no operational traits.

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?

A single front-loaded sentence with the pipeline stages parenthetically summarized; no filler. However, given the tool's complexity, the terseness borders on under-specification rather than economy.

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?

Output schema exists so return values need not be explained, but for a 13-parameter pipeline with no annotations and zero schema descriptions, the description leaves the agent without prerequisites, defaults behavior, or the meaning of key knobs. It is not sufficient to call this tool safely.

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 0% across 13 parameters, and the description adds no parameter meaning at all — api_key, databases, index_path, library_dirs, scoring_backend, tolerance_ppm, ionization_mode, processing_steps, and enable_processing are all left opaque. Low-coverage schemas require the description to compensate, and here it does not.

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?

States a specific verb+resource ('analyze_unknown' of an MS/MS spectrum) and decomposes it into the composed stages (quality + processing + identify + classify + annotate), which tells the agent this is a composite pipeline rather than a single-purpose operation. It does not explicitly distinguish itself from the siblings it wraps (covams_identify, covams_process_spectrum, covams_spectral_quality, covams_fragment_annotate), so it stops short of a 5.

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 word 'unknown' implies a use case, but there is no explicit when-to-use, when-not-to-use, or direction to the individual sibling tools for a targeted single-step call. An agent cannot tell from this text whether to run the full pipeline or call covams_identify directly.

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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