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guild_check

START HERE when asking "which agent should I hire for this capability?" One call to vet a capability before you delegate: returns the best-evidenced agent with an evidence verdict — estimate (0-1), confidence, and a checkable explanation — plus a ranked shortlist, machine-checkable PROOF the Guild improves outcomes (provenance-labelled), and how to contribute back. Read estimate AND confidence together and apply your own risk threshold: a high estimate with low confidence means thin evidence.

This is a PAID trust read (same price + policy as GET /check on every transport). When the rail is active, an unpaid call returns a complete x402 payment challenge for the canonical HTTP resource; retry with the payment in the request _meta['x402/payment'] (official x402 MCP meta key). Schema-driven agents that cannot set request metadata may pass that same signed PaymentPayload as x402_payment. Or pass a funded api_key for SANDBOX credits (never revenue). Free while the service is in soft-launch.

Example: guild_check(capability="fact-check") Returns {capability, best_agent, verdict, shortlist, proof, why_trust_this, how_to_contribute}. Use guild_search / guild_risk_score for finer control.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo
capabilityYes
x402_paymentNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.2/5.0
Behavior4/5

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

The description discloses critical behavioral traits: it is a 'PAID trust read' with the same pricing policy as GET /check. It explains how the payment challenge works, how to retry with payment in metadata or as a parameter, and the free soft-launch period. With no annotations provided, this description carries the full burden and does so well, though it could be slightly more concise about payment details.

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 description is front-loaded with a clear directive, which is good. However, it is verbose, especially in the payment explanation and the output fields list. Some sentences (e.g., 'Free while the service is in soft-launch') could be folded into a parenthetical or removed without loss. The example at the end is helpful but adds length.

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 presence of an output schema and no nested objects, the description need not explain the return structure. It nonetheless lists the output fields, which is helpful but redundant. It covers the key behavioral aspects (paid, payment flow, free period) and usage cues, making it fairly complete for a tool with 3 params and an output schema.

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 input schema has 0% description coverage, so the description must compensate. It explains the crucial 'capability' parameter with an example ('fact-check') and clarifies the x402_payment parameter (pass as meta key or parameter, or use api_key). It does not detail api_key semantics beyond 'SANDBOX credits', but the example and usage context provide enough value above the bare schema.

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 tool's purpose: to vet a capability and return the best-evidenced agent with verdict details. The verb 'vet' and resource 'capability' are specific, and the description distinguishes it from siblings like guild_search and guild_risk_score by explicitly mentioning them for finer control.

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 description explicitly instructs to 'START HERE' when deciding which agent to hire, which provides strong usage guidance among the many guild_* siblings. It also tells the agent to read estimate and confidence together and apply a risk threshold. However, it does not explicitly state when NOT to use this tool or provide alternative scenarios for sibling tools beyond a brief mention.

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.