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declare_break

Declare a detected ledger break by appending an immutable record of the orphaned line's bytes, reason, and date, keeping the break visible and counted without restoring a green verdict.

Instructions

Your own ledger is broken — something was written into it out of band. Name the break instead of hiding it. This APPENDS (never edits) a row pinning the orphaned line's exact bytes, the reason, and the date, so a known break stops reading like an unexplained one. It does NOT restore a green: the verdict becomes bounded (ok=null) and the break stays counted in declared_breaks forever. It declares one break at a time — the first one verification already found — so a second break can never ride in on one sentence. Refused if nothing is actually broken.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reasonYesA real human explanation of how the row got there. Blank is refused: an unexplained declaration is a mute exemption, not a record.
namespaceYesThe ledger to declare against — same name you pass to prove_my_conduct.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.7.1

TDQS

A4.5/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so thoroughly. It discloses append-only behavior, permanent retention, the effect on the verdict (ok=null), the one-break-at-a-time limit, and the refusal condition when nothing is broken.

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?

The description is dense but every sentence earns its place: context, action, side effects, limits, and failure conditions are all covered without redundancy. The key behavior is front-loaded with the append-only clarification following immediately.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no annotations and no output schema, the description is remarkably complete. It explains the semantics, permanence, refusal behavior, and constraints, leaving no critical gap that would prevent an agent from invoking it correctly.

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 the baseline is 3. The description reinforces that a reason is required and references the ledger context, but it does not add materially new parameter-level meaning beyond what the schema already provides.

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?

The description names a specific verb and resource: declaring a break by appending a row to one's own ledger. It clearly distinguishes itself from siblings by limiting scope to the agent's own ledger and by explicitly describing the append semantics and refusal behavior.

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 clearly implies when to use it: after verification has found a break, on the agent's own ledger, and only when something is actually broken. It does not explicitly name sibling alternatives, but the scope and refusal conditions provide enough guidance to select it correctly.

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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