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Jean — Molecular Biology & Genomics

save_enzyme_collection

Save a set of enzymes as a named collection in your Enzyme Collections panel, so a scan that found the enzymes worth keeping ends by keeping them instead of asking you to retype the list.

Input Schema

NameRequiredDescriptionDefault
nameYeswhat to call the collection, as it will read in the panel.
_filesNoThe project: record references shaped like _subject. Their records become library documents a tool names in sequences/parts/document; a trace or alignment is found by file name.
enzymesYesthe enzyme names to save — wire these from a scan (enzyme_cut_counts, digest_fragments) or from enzyme_collection rather than typing them, so the set is one the engine has already resolved.
replaceNooverwrite a collection that already has this name. Left false, a name clash refuses and says which collection it would have replaced.
_subjectNoThe record to act on: exactly one of sequence, accession (+source), sample (an id from list_samples) or file ({name, text} or {name, base64}); record_index picks one record of several.
activateNomake it the active collection, which is what the panel does when you create one — every enzyme parameter that is left unset then scopes to it.

Output Schema

NameRequiredDescriptionDefault
countYeshow many enzymes it holds
activeYeswhether this collection is now the one an unset enzyme parameter resolves to
createdYestrue for a new collection, false when an existing one of the same name was replaced
enzymesYesthe names as saved, de-duplicated in the order given — wireable straight into a scan
collectionYesthe name it was saved under

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds workflow rationale (avoiding retyping) but does not disclose the name-clash refusal, the overwrite behavior, or the activate-by-default side effect — those all live in the schema. Useful context but thin beyond annotations.

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?

It is a single front-loaded sentence with the action stated first and the rationale after. The trailing clause ('ends by keeping them instead of asking you to retype the list') is slightly conversational and could be trimmed, but it earns its place by conveying the workflow motivation.

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?

With a fully documented schema, an output schema, and annotations covering safety, the description only needs to establish purpose and timing — which it does. The only missing element is any mention of persistence or name-collision behavior, which an agent modifying an existing collection would want surfaced in prose.

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?

Schema description coverage is 100%, and the schema itself explains name, enzymes, replace, activate, _subject and _files in detail. The description body adds no parameter-level meaning at all, so the baseline 3 applies: the schema does the work and the prose neither helps nor hurts.

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 opens with a specific verb and resource: 'Save a set of enzymes as a named collection in your Enzyme Collections panel.' That is unambiguous about what is created and where it lives. It does not explicitly contrast itself with the sibling read tool enzyme_collection, though the workflow framing ('ends by keeping them') implies the distinction rather than stating it.

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?

It gives a concrete trigger: use this at the end of a scan that found enzymes worth keeping, and it nudges the caller to wire names from a scan or from enzyme_collection instead of retyping. There is no explicit when-not guidance or mention of the alternatives by name in the description body, so it falls short of a 5.

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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