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guild_index

Search the public trust index of agent endpoints — FREE, no key.

Returns, per endpoint, what its registry CLAIMS and separately what Agent Guild OBSERVED when it actually called it. Those are different things and are never merged: measured 2026-07-31, 92.9% of registry-listed agents report healthy and 33.9% complete a task.

Example: guild_index(query="translation")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.5/5.0
Behavior5/5

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

With no annotations provided, the description fully carries behavioral disclosure. It explicitly reveals that results separate registry claims from observed outcomes, never merges them, and includes a concrete metric (92.9% healthy, 33.9% complete task). This is rich, non-obvious behavioral context beyond basic search functionality.

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?

The description is tightly written: an opening phrase, a clear explanation of the core claim/observed distinction, a supporting stat, and an example. Every sentence adds value, and it's front-loaded with the main purpose. No fluff.

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?

Given the presence of an output schema, return value details need not be in the description. The description covers purpose, key behavioral nuance, cost/auth (free, no key), and usage example. For a search tool with two optional parameters, this is comprehensive.

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?

Schema coverage is 0%, so description must compensate. It provides an example using 'query' but does not explain 'limit' beyond what the schema shows (int, default 20). The example clarifies query usage, but limit semantics are left implicit. Adequate but not fully compensating for zero descriptions in 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 'Search the public trust index of agent endpoints' with specific verb 'Search' and resource 'public trust index'. It differentiates from sibling guild tools by its unique focus on comparing registry claims vs observed behavior, which is a distinctive capability.

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 implies usage context by highlighting 'FREE, no key' and gives an example invocation. However, it does not explicitly contrast with sibling tools like guild_search or guild_check, so while context is clear, alternatives are not directly excluded or compared.

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.