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fluxproof_list_changes

Read-onlyIdempotent

List recent evidence receipts for a monitor.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum recent receipts requested; defaults to 20. History access is restricted by the key’s plan.
api_keyYesBuyer-owned FluxProof API key. Treat as a secret: do not include in transcripts, public logs or support messages.
monitor_idYesExact monitor_id returned when this key created the monitor; another account cannot access it.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / api_key / description
      Added value: +"Buyer-owned FluxProof API key. Treat as a secret: do not include in transcripts, public logs or support messages."
    • addedInput schema / properties / limit / description
      Added value: +"Maximum recent receipts requested; defaults to 20. History access is restricted by the key’s plan."
    • addedInput schema / properties / monitor_id / description
      Added value: +"Exact monitor_id returned when this key created the monitor; another account cannot access it."
  2. 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=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the term 'recent' and 'evidence receipts,' which clarifies the data scope but does not disclose additional behaviors like pagination, ordering, or response format. With annotations present, this modest addition earns a 3.

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 a single, front-loaded sentence with zero wasted words. It immediately states the action and object, making it easy to scan.

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 simple read-only listing tool with three fully documented parameters and clear annotations, the description is nearly complete. It lacks explicit mention of the return format, but since there is no output schema and the action is straightforward, this is a minor gap. The monitor-scoping is implied by the monitor_id parameter description.

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 all three parameters (limit, api_key, monitor_id) are fully documented. The description adds no parameter-level detail beyond what the schema provides, so the baseline of 3 is appropriate.

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 clearly states a specific verb (list) and resource (recent evidence receipts) for a monitor, which distinguishes it from sibling tools like check_now, create_monitor, offer, and preflight. It accurately captures the tool's function without ambiguity.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus the siblings. It does not mention alternatives, exclusions, or prerequisites beyond the basic purpose. An agent must infer from the name and schema when to call it.

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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