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agentlab-services

notarize

Proof-of-existence: signed, timestamped receipt binding any content to a hash (IP/plagiarism/audit).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose the core behavior: it produces a receipt that is signed and timestamped. However it omits key traits — whether raw content is stored or only the hash, retention/immutability, and privacy implications of sending content to be notarized.

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?

A single dense sentence that front-loads the core concept ('Proof-of-existence') before the mechanism and use cases. Nothing is wasted.

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?

For a zero-param tool with no annotations and no output schema, the description omits how content is supplied (arguments? file?) and what exactly is returned or persisted. These are material gaps for a notarization primitive, though the core concept is conveyed.

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?

There are zero declared parameters, so the baseline is 4; the schema is open (additionalProperties: true). The description's 'binding any content to a hash' partially explains the freeform input, adding modest value over the empty 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 outcome — a signed, timestamped receipt binding content to a hash — rather than a tautology on the name. It is clearly distinguishable from siblings like verify_text or attest_quality, though it never explicitly contrasts with them.

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

Usage Guidelines3/5

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

The parenthetical '(IP/plagiarism/audit)' implies the scenarios the tool serves, which is real but only implied usage guidance. There is no explicit when-to-use/when-not, no prerequisites, and no routing to alternatives such as verify_text.

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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