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Protocol Ledger

read_protocol_profiles
Read-onlyIdempotent

Protocol Ledger is a free, dated reference for five payment, agent-identity and token interfaces. Each record preserves its official specification, review date and interpretation limits. Filter the same snapshot in the browser or retrieve it through the JSON API. Five initial profiles; no market prices, exhaustive schema coverage, real-time protocol monitoring or paid endpoint. Retrieve protocol with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asOfYesReview date (UTC) (preserve source text; decimal amounts must stay strings)
statusYesStatus (preserve source text; decimal amounts must stay strings)
purposeYesPurpose (preserve source text; decimal amounts must stay strings)
maxAgeDaysYesMaximum evidence age (days)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
reportYes
toolIdYes
versionYes
citationYes
revisionYes
processingYes
limitationsYes
evidenceStatusYes
officialReferencesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already establish readOnly/idempotent/non-destructive behavior; the description adds useful context beyond them: 'Parameters are processed remotely without application persistence,' the snapshot/dated-review semantics, and the 'Five initial profiles' scope limit. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The opening sentence is informative and front-loaded, but the description becomes padded with a browser-vs-JSON-API comment, a redundant 'Five initial profiles' clause, and the vague 'Retrieve protocol with fetch or read its example resource' sentence. It is serviceable but not crisp.

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?

Given the strong annotations, complete input schema, and existing output schema, the description provides enough operational context: it describes the data scope, honors read-only semantics, and discloses non-persistence. The main remaining gap is not explicitly saying what the returned profiles are for, but that is largely covered by the tool name and schema.

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?

The input schema has 100% description coverage and already explains all four parameters, including enums and the 'preserve source text' instruction. The tool description adds no meaningful parameter-level meaning beyond the schema, 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.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly frames the tool as a 'free, dated reference' for payment, agent-identity, and token interfaces and states its limits ('no market prices, ... real-time protocol monitoring or paid endpoint'). It stops short of a crisp 'returns protocol profiles filtered by status/purpose/asOf' statement and does not differentiate itself from sibling read/search tools by name.

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?

The 'dated reference' framing plus explicit exclusions ('no market prices, exhaustive schema coverage, real-time protocol monitoring or paid endpoint') gives an agent usable guidance about when not to pick this tool. It also points to fetch/example resources for exact inputs. However, it never explicitly names sibling alternatives or states a clear 'use this when...' condition.

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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