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Graphlog Career

Save career record

save_career_record
Destructive

Store changes to the career record: what they hand over as a source (a CV, a LinkedIn export, notes) or tell about their work. It takes changes, each a path into the record as get_career_record returned it at baseVersion and the value to put there, with baseVersion and a note; everything changes does not name stays as stored. A path names header, lastCheckIn, a whole section such as roles, an item such as comments[3], or a part of one such as roles[0].projects[2]; indexes from one past a list's last item add items there, in turn, a null value removes what the path names, and no path lies inside another. A field the schema does not know is dropped first. The save is refused when the record changed since baseVersion, when a path names nothing stored, or when the record the changes make breaks the schema, and the refusal names the path or field; a refused save stores nothing. Returns {version, stored, changed, hints}: stored counts each section now and before; changed names each part this save changed with how many of its items or header fields are new, edited or removed, and a part it left as it was is not named; hints name what was dropped, a blank headline and each item with no date.

Input Schema

NameRequiredDescriptionDefault
noteYesWhat changed in this save, such as "added the Premco role and its results".
changesYesWhat this save changes, each a path and its value.
baseVersionYesThe version get_career_record returned.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior5/5

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

Annotations already flag destructive=true, idempotent=false, but the description goes well beyond: it discloses optimistic concurrency (refused when the record changed since baseVersion), refusal on unknown paths or schema violations, the atomicity guarantee ("a refused save stores nothing"), that unknown fields are silently dropped, null removes a target, and that out-of-range indices append. These are precisely the destructive and non-idempotent behaviours an agent must anticipate.

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

Conciseness3/5

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

The purpose is front-loaded, but the body is a dense run of semicolon-chained clauses ("...indexes from one past a list's last item add items there, in turn, a null value removes what the path names, and no path lies inside another") that forces re-reading. Nearly every clause carries information, but paragraph-level structure is poor for a description of this length.

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?

For a tool with an enormous nested record schema and no output schema, the description does the heavy lifting: it defines the change model, the refusal model, and describes the return shape ({version, stored, changed, hints}) in enough detail to be usable. The one gap is routing relative to the other write/import/restore siblings.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, and the description adds real meaning the schema does not: path grammar (header, a whole section, comments[3], roles[0].projects[2]), append-on-out-of-range-index, null-for-delete, and the no-overlapping-paths constraint. It also explains baseVersion's role and what the note is for, though the note's purpose is largely restated from the schema.

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 and resource: "Store changes to the career record", and specifies that changes are path/value pairs against a baseVersion. An agent knows exactly what operation this is. However, it never names the near neighbours (import_career_record, restore_career_version) that also write the record, so the distinction is by inference rather than stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the mechanics (supply baseVersion from get_career_record, paths from the returned record), which effectively tells an agent when this tool is applicable. But there is no explicit when-to-use versus import_career_record or restore_career_version, and no statement of prerequisites such as needing a fresh read first, which is exactly the situation where an agent would pick the wrong sibling.

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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