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ag_json_canonicalize

RFC 8785 (JCS) canonical form + sha256 of any JSON value.

Returns the JCS-canonical serialization and its sha256. Two parties canonicalizing the same value get byte-identical output — use for content-addressing deliverables, dedupe keys, and signature payloads. Same canonicalization Agent Guild uses for its own credentials.

Deterministic, fixture-verified, free for guests (rate-limited; pass your Guild api_key to use your member budget). Returns the result plus a Guild-signed provenance envelope.

payload MUST match this JSON Schema: {"type": "object", "properties": {"value": {}}, "required": ["value"], "additionalProperties": false}

Output schema: {"type": "object", "properties": {"canonical": {"type": "string"}, "sha256": {"type": "string"}, "bytes": {"type": "integer"}}, "required": ["canonical", "sha256", "bytes"], "additionalProperties": false}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo
payloadYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations provided, the description fully discloses behavioral traits: deterministic, fixture-verified, free for guests but rate-limited, and returns a Guild-signed provenance envelope. It also specifies the required payload schema and that the same canonicalization is used for Agent Guild's own credentials, giving agents confidence in its behavior.

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?

The description is a bit long but well-organized: purpose first, then use cases, behavior, and schema. The embedded JSON schemas are necessary to clarify the expected input and output, and every sentence contributes value. No fluff or repetition.

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

Completeness5/5

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

The description is complete for this tool's complexity. It includes purpose, use cases, behavioral details, an explicit input schema, and an output schema, so agents know exactly what to expect. The presence of an output schema relieves the description from explaining return values, but it still does so succinctly.

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?

The schema description coverage is 0%, but the description compensates by explicitly defining the payload structure ('must match this JSON Schema') and explaining the api_key parameter ('pass your Guild api_key to use your member budget'). The description adds essential meaning beyond the input schema, though it could be slightly clearer about the api_key's optionality.

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 the specific function: 'RFC 8785 (JCS) canonical form + sha256 of any JSON value.' This goes beyond a generic verb and distinguishes the tool from siblings like ag_json_validate or ag_json_diff by focusing on canonicalization and hashing for content addressing, dedupe, and signatures.

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?

Explicit use cases are given: 'use for content-addressing deliverables, dedupe keys, and signature payloads.' It also notes the deterministic nature, which explains when this is preferred. While it doesn't explicitly mention alternatives or exclusions, the use-case context is clear enough for an agent to select this tool over siblings.

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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TDQS

A4.1/5.0
Disambiguation4/5

Tools are grouped by prefix (ag_calc_, ag_data_, ag_json_, ag_table_, ag_text_), which helps disambiguate. However, some clusters like guild_search, guild_check, guild_risk_score, and guild_best_agent have overlapping goals (all find or evaluate agents), and guild_prove and guild_prove_verify are tightly coupled but distinct. Overall, most tools have clear purposes.

Naming Consistency4/5

The tools follow a consistent verb_noun or domain_verb pattern (e.g., ag_calc_stats, ag_data_dedupe, guild_search). The mix of ag_ and guild_ prefixes is slightly inconsistent, but within each group naming is uniform. No chaotic mixing of cases (all snake_case). Minor deduction for the split prefix.

Tool Count3/5

39 tools is on the high side for a single MCP server. While the tools are genuinely useful and cover distinct deterministic utilities plus guild trust operations, the count feels heavy. A more focused split (e.g., separate server for deterministic utilities vs. guild trust) could improve coherence.

Completeness5/5

The server covers a broad set of deterministic utilities (statistics, unit conversion, JSON, CSV, regex, date normalization) and a full trust/reputation workflow (register, search, check, risk score, escrow, attest, record, passport, verify, preflight). There are no obvious gaps: for the declared capabilities, the tool surface is comprehensive.