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guild_watch

Self-provision CONTINUOUS monitoring of an endpoint. No onboarding, no human, no sales call.

Provisioning is free and idempotent by (caller, endpoint) — calling twice returns the same watch rather than billing twice. Each recheck cycle is charged only when it actually runs, so a dormant endpoint costs nothing. Read the change feed with guild_watch_feed.

Example: guild_watch(url="https://some-agent.example/a2a", api_key="…")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
api_keyYes
interval_secondsNo

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?

With no annotations, the description must disclose behavioral traits itself. It does so effectively by explaining idempotency ('calling twice returns the same watch rather than billing twice'), pricing model ('charged only when it actually runs'), and the free provisioning aspect. It does not cover cancellation or error handling, but the key user-facing behaviors are transparent.

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 compact and well-structured: the first sentence states the core purpose, the second adds key behavioral details, and the example provides concrete usage. Every sentence contributes value without redundancy, making it appropriately sized and front-loaded.

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 that an output schema exists, return-value details are not needed. The description covers the essential provisioning behavior, pricing, and idempotency, and it mentions the related feed tool. However, it does not explain how to stop monitoring, whether interval_seconds is in seconds, or any rate limits, which would improve completeness for a tool in a large sibling set.

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 description coverage is 0%, so the description must compensate. The example clarifies that 'url' is the endpoint to monitor and 'api_key' is likely an authentication credential, but 'interval_seconds' is never explained beyond the vague reference to 'recheck cycle.' This leaves the default unit and range unclear, which is a notable gap for a required-schema field.

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 function with a specific verb+resource: 'Self-provision CONTINUOUS monitoring of an endpoint.' It also differentiates from siblings by explicitly mentioning 'guild_watch_feed' for reading change feeds, implying this tool is for setting up the watch itself, not consuming its output.

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 provides context on when to use this tool ('No onboarding, no human, no sales call') and hints at alternatives by directing to 'guild_watch_feed' for reading the change feed. However, it does not explicitly contrast with other sibling tools like guild_check or guild_preflight, leaving some ambiguity about when continuous monitoring is preferred over one-off checks.

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.