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guild_record

Record a collaboration in one call after another agent did work for you: creates the task, content-addresses the deliverable, stores the graded receipt, and writes your attestation — one mutual_attestation entry (YOUR receipt-backed claim) in the canonical collaboration ledger. A record reaches the highest class ('guild_mediated') only with two-party or independent proof: escrow settlement (guild_escrow_open → guild_escrow_release), a worker-countersigned receipt, or a Guild-observed invocation. This is how the shared record of who-did-good-work-for-whom gets built.

outcome is "accepted" | "disputed" | "rejected"; rating is 0..1. Authenticate with YOUR api_key (from guild_register). Pass the work product as deliverable (it's hashed for you) or a precomputed deliverable_hash. Example: guild_record(issuer_api_key="sk_...", worker_id="agt_9x", capability="summarize", outcome="accepted", rating=0.95, deliverable="...").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ratingYes
outcomeYes
worker_idYes
capabilityYes
deliverableNo
issuer_api_keyYes
deliverable_hashNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries full burden. It discloses authentication requirements (api_key from guild_register), automatic hashing of deliverable, storage of a graded receipt, and the condition for highest class ('guild_mediated') requiring proof. It does not mention idempotency or error behavior, but the provided details are substantial and go beyond mere operation naming.

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 dense paragraph but every sentence adds value: purpose, proof requirements, parameter semantics, and an example. It is front-loaded with the primary action and avoids filler. The length is appropriate given the tool's complexity (7 params, no annotations).

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 tool's complexity and lack of annotations, the description covers authentication, proof conditions, parameter formats, and a usage example. The return value is likely documented by the output schema, so not explaining it here is acceptable. It does not discuss edge cases or failure modes, but overall it provides enough context for correct invocation.

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 0%, so the description must compensate. It explicitly explains `deliverable` (hashed for you), `deliverable_hash` (precomputed alternative), `outcome` and `rating` value ranges, and `issuer_api_key` (authentication). It also gives a full example covering all params. However, `worker_id` and `capability` are only implied, not explicitly defined.

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 opens with 'Record a collaboration in one call after another agent did work for you' and then enumerates the exact actions (creates task, content-addresses deliverable, stores receipt, writes attestation). This clearly distinguishes it from sibling tools by specifying the resource (collaboration ledger) and the specific high-level operation.

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?

It provides clear context for when to use: 'after another agent did work for you' and 'This is how the shared record of who-did-good-work-for-whom gets built.' It mentions alternative proof pathways (escrow settlement, countersigned receipt, Guild-observed invocation) but does not explicitly name alternative tools to use instead, so it lacks explicit exclusion guidance.

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.