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criba: who is calling your MCP server

List known bots

list_known_bots
Read-onlyIdempotent

List criba's catalog of known agent-ecosystem bots, optionally filtered by category or protocol. Each entry has its id, name, category, URL, matching rules and what it was seen doing. Catalog 2026-11-08, CC-BY-NC-4.0 (non-commercial use with attribution).

Input Schema

NameRequiredDescriptionDefault
categoryNo
protocolNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint=false, so safety is covered; the description adds genuinely new behavior context by describing what each entry contains (id, name, category, URL, matching rules, observed activity) and the licensing constraint (CC-BY-NC-4.0, attribution required). It stops short of covering catalog size, pagination, or whether results are cached.

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?

Two front-loaded sentences: the first defines the operation and filtering, the second defines the payload shape and the license obligation. Nothing is redundant with the schema or 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?

With no output schema, the description correctly takes on the job of describing entry fields, and it adds the non-obvious attribution requirement. The only meaningful omission for a two-filter catalog listing is whether results are paginated or bounded in size.

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%, but both parameters are fully enumerated enums, so the value space is self-documenting. The description only names the two filters and their purpose without explaining category semantics or the interaction between category and protocol, so it partially but not fully compensates for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('List criba's catalog of known agent-ecosystem bots') plus the scope of optional filtering, so the agent knows exactly what it gets back. It does not explicitly name the siblings classify_visitor or identify_client, but the listing-vs-classifying distinction is inferable from the verb.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage ('optionally filtered by category or protocol') but never states when to prefer this over classify_visitor or identify_client, nor any when-not conditions. An agent must infer the routing from the verbs alone.

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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