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Glama

Verify a registration's receipt

verify_registration
Read-onlyIdempotent

Confirms a sealed registration receipt matches the statement you registered and returns its four answers unchanged; optionally checks against a known accumulator for split-view.

Instructions

Verify a sealed registration's receipt over the statement you registered, with @forestrie/mcp-verify's verifier, and return its four-question answers unaltered. By default the trust root is this server's own log key, the root of your data log; verifying never creates a key. Pass a known accumulator (from @forestrie/mcp-resolve's fetch_accumulator) to use a root that can also answer split-view.

Input Schema

NameRequiredDescriptionDefault
contentHashYesthe content hash register_statement returned (64 lowercase hex)
knownAccumulatorNooptional: a known accumulator (e.g. from @forestrie/mcp-resolve's fetch_accumulator) to verify against instead of this server's own log key — { b64 } | { base64 } | { path }

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

A3.9/5.0
Behavior4/5

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

Adds context beyond the annotations: it states verifying never creates a key (a meaningful side-effect clarification given the sibling key/register tools), and explains the default trust root and the split-view capability tradeoff. Annotations already cover readOnly/idempotent/destructive, so this is supplementary value rather than essential disclosure.

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?

Two dense sentences with no filler, and the default case is stated before the optional override. Package names and 'four-question answers' jargon cost a little readability but nothing is redundant.

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?

No output schema exists, so the description must carry the return-value burden; 'return its four-question answers unaltered' hints at a structured verification result but never defines what those four answers are. For a verification tool whose output shape matters, that is a notable gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% so the baseline is 3, but the description adds real meaning the schema cannot: why knownAccumulator exists, where to get it, and what capability it unlocks (split-view answers) versus the server-key default. contentHash is not elaborated but is well documented in the schema.

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?

States a specific verb (verify) and resource (a sealed registration's receipt over a registered statement), and names the verifier used. It does not contrast itself with the sibling check_registration, so the agent must infer the distinction, but the core action is unambiguous.

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 conditional guidance: default is the server's own log key, and pass a knownAccumulator (sourced from fetch_accumulator) only when you need a root that can also answer split-view. It lacks explicit when-not rules or a comparison against check_registration, but the parameter choice is well motivated.

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