Skip to main content
Glama

retention_deletion_receipt

Separate requested, operator-completed and evidence-verified retention/deletion states using content and evidence hashes; 0.003 USDC.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYes
recordYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "action": {
      +      "kind": "delete",
      +      "operator": "store-a"
      +    },
      +    "record": {
      +      "content_sha256": "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
      +      "record_id": "rec-1"
      +    }
      +  }
      +]
  2. First observed

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses a cost (0.003 USDC), but for a tool centered on deletion it never says whether it mutates state, requires auth, or merely produces a receipt, and it does not describe what the returned receipt contains.

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?

A single front-loaded sentence that packs the operation, its inputs, and the price with no wasted words. The density is high, though the compressed phrasing borders on jargon-heavy.

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

Completeness2/5

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

With no annotations, no output schema, and nested objects at 0% schema coverage, the description should explain the return receipt and the meaning of action.kind values but does neither. An agent can form a rough intent but lacks what it needs to invoke the tool correctly.

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% with two required nested objects. The description's phrase 'content and evidence hashes' loosely gestures at content_sha256 and an evidence hash, but the action object (kind, operator) and record_id are left entirely undocumented, so it only partially compensates for the coverage gap.

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 states a specific action (separate requested, operator-completed, and evidence-verified retention/deletion states) over a concrete resource, so an agent can grasp that this tool classifies deletion/retention status. However, it does not differentiate itself from the many other evidence/provenance siblings such as mcp_server_identity_evidence or agent_reputation_evidence, leaving the boundary fuzzy.

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?

There is no when-to-use or when-not-to-use guidance, no named alternative, and no prerequisites. The description implies a classification context but never states the condition under which an agent should call this instead of a sibling evidence tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources