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Prepare to declare an Action implemented

prepare_declare_implemented

Preview declaring that the work of an open Action is done, so CiteLadder checks later evidence against it. Nothing changes until the user agrees and you call confirm_change.

Input Schema

NameRequiredDescriptionDefault
action_idYesAn open Action id from read_actions.
project_idYesA project id that list_projects returned.
declared_implemented_atNoWhen the work went live; omit for now. Evidence after it is checked.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / action_id / description
      Added value: +"An open Action id from read_actions."
    • addedInput schema / properties / declared_implemented_at / description
      Added value: +"When the work went live; omit for now. Evidence after it is checked."
    • addedInput schema / properties / project_id / description
      Added value: +"A project id that list_projects returned."
  2. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Adds real behavior beyond the annotations: this call is a preview that changes nothing, effect only lands after confirm_change, and CiteLadder will later check evidence against the declaration. Annotations already cover idempotentHint=false and destructiveHint=false, so the extra workflow/side-effect context is the valuable part; permissions and the readOnlyHint=false vs "nothing changes" tension are left unexplained.

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

Conciseness5/5

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

Two sentences with no filler: the preview purpose is front-loaded, then the safety/confirm condition. Every clause carries information an agent needs.

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 no output schema, the description covers the workflow and safety profile adequately for a null-safe prepare tool, but it does not say what the preview actually returns or what the user is meant to review before confirming. Minor gap, otherwise complete.

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%, so each of the three parameters is already documented in the schema. The description adds no parameter-level detail (e.g., that action_id must come from read_actions, or how declared_implemented_at affects evidence checking), so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a precise verb+resource+scope: "Preview declaring that the work of an open Action is done." The name/title are restated with added substance (an *open* Action, the work being done), so an agent knows exactly which operation this is.

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?

Gives clear usage context and an explicit follow-up requirement: nothing changes until the user agrees and confirm_change is called, which tells the agent how this fits into a workflow. It does not, however, contrast with possibly-confusable siblings such as update_action_status or the other prepare_* tools, so no explicit exclusions.

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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