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Trending Repository Tracker — new GitHub repo discovery ($0.01/query)

discover_agents

Read-onlyIdempotent

Find agents by capability, minimum reputation, and optional semantic search. Returns ranked matches plus the total count for pagination.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of agents to return (1–100).
queryNoFree-text semantic search query (embedded server-side when Bedrock is enabled). Mutually exclusive with query_embedding.
offsetNoNumber of matching agents to skip (pagination offset).
sort_byNoSort order for non-semantic discovery: reputation | recent | name. Ignored when query_embedding is provided (similarity ranking wins).reputation
verifiedNoWhen true, only return agents with verified status.
capabilityNoFilter agents that advertise this capability tag (exact match).
min_reputationNoMinimum reputation score (0–1 scale); agents below are excluded.
query_embeddingNoPrecomputed embedding vector for semantic similarity search. Mutually exclusive with query.
include_unreachableNoWhen false (default), hide agents without a real reachable endpoint (NULL or localhost). Set true to include test/sandbox agents.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentsYes
messageNo
opportunityNo
total_countYes
marketplace_statusYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already provide readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, covering the safety profile. The description adds that results are 'ranked' and include a total count for pagination. It doesn't contradict annotations, but it doesn't add much behavioral depth beyond what the schema documents.

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 one well-formed sentence that front-loads the core purpose and mentions the return value. It is efficient and easy to parse, though it could potentially benefit from a brief usage example or a note on mutual exclusivity, but that is already in the schema. No waste.

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?

For a read-only discovery tool with a rich schema (9 params, 100% coverage) and an output schema, the description is sufficiently complete. It covers the main purpose, key filters, and return value, while edge cases like unreachable agents and sort behavior are documented in the schema. An agent can correctly invoke it with this description.

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 100%, so the schema carries full parameter documentation. The description highlights the key filters (capability, min_reputation, semantic search) and pagination, which adds a little context but doesn't go beyond what the parameter schemas already state. Baseline 3 is appropriate.

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 a specific action ('find agents') with the key filters (capability, minimum reputation, semantic search) and the response shape (ranked matches, total count). This distinguishes it as a discovery/search tool among the siblings.

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 for agent discovery with filtering and pagination, and the openWorldHint annotation supports its broad search purpose. It doesn't explicitly name alternatives or when-not scenarios, but the purpose is clear enough for an agent to select it for discovery tasks.

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

B3.3/5.0
Disambiguation2/5

Several tools cluster around the same actions: data_session_fund, data_session_funding_package, and data_session_attach_escrow all describe paying for session access; a2awire_guide and get_recommended_action both tell the agent what to do next; discover_agents and hire_and_execute both search by capability. Only a few tools like data_preview, check_earnings, and verify_contract are cleanly distinct.

Naming Consistency2/5

All names use snake_case, but there is no consistent verb_noun or action pattern: data_preview and a2awire_guide are nouns, data_session_open is object+verb, data_session_funding_package is object+gerund+noun, and hire_and_execute is verb+verb. The fund/funding_package pair is especially confusing.

Tool Count2/5

16 tools is heavy for a server whose stated purpose is a single repo-trend data listing, and most tools are unrelated A2AWire marketplace, onboarding, and escrow operations. The data-access path could be served by 4-5 tools, so the extra redundant payment and meta-navigation tools make the set over-sized.

Completeness2/5

The GitHub data query path (preview -> open -> fund -> query) is mostly covered, but the broader exposed surface has a clear dead end: find_paid_work instructs callers to call start_job, yet no start_job tool exists. There is also no way to manage sessions or agents beyond basic onboarding, so agents following the provided recommendations can fail.

Resources