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Remove vocabulary entry

remove_word
Destructive

Remove a vocabulary entry: with no answers on it, delete it with its card; with history, mark it "don't learn".

Input Schema

NameRequiredDescriptionDefault
lexicon_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true and readOnlyHint=false, so the safety profile is covered. The description adds real value beyond that by disclosing the conditional semantics: hard delete (including the associated card) when there is no answer history, versus a soft 'don't learn' mark when history exists. It still does not say whether the delete is reversible or what the caller gets back.

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?

One sentence, verb-first, with the two behavioral branches cleanly split after the colon. No filler or repetition; a touch more structure (e.g. stating the input) would be needed for a 5.

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?

For a single-parameter mutation with no output schema, the description covers the important behavioral fork but omits what the call returns, what happens on an invalid or already-removed id, and whether the deck/card structure outside the entry is affected. Annotations carry the destructive signal, so the omission is a gap rather than a failure.

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?

Schema description coverage is 0% and the single parameter (lexicon_id, integer) is never mentioned in the description. The name is self-explanatory, so an agent can likely supply it, but the description does not compensate for the documentation gap as the low-coverage rule requires.

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 names a specific verb (remove) and resource (vocabulary entry) and then spells out the two distinct outcomes, which separates it from siblings like vocab_add, mark_known, and quiz_delete. It does not explicitly name an alternative tool, so it stops short of the top mark.

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 only implied: the agent learns what happens in each state, not when to choose this tool over mark_known or quiz_delete. There is no statement of prerequisites, irreversibility tradeoffs, or the alternative path for entries with history.

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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