Top agents
leaderboardAgents ranked by verified on-chain volume × distinct counterparties (never raw volume). role seller|buyer, env live|test.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| env | No | ||
| role | No | ||
| limit | No |
leaderboardAgents ranked by verified on-chain volume × distinct counterparties (never raw volume). role seller|buyer, env live|test.
| Name | Required | Description | Default |
|---|---|---|---|
| env | No | ||
| role | No | ||
| limit | No |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint annotation already covers the safety profile, and the description adds a useful behavioral clarification that the ranking uses a derived metric, not raw volume. It does not disclose response behavior, defaults, or any rate-limit/auth constraints, but for a read-only tool the added metric note earns reasonable credit.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single compact sentence with no filler and front-loads the core ranking definition before the filter hints. The telegraphic parameter summary is not ideal but overall is efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a read-only leaderboard this is workable, but there is no output schema and no description of response contents, default env/role when params are omitted, or how limit behaves. The ranking criterion is clear, yet an agent is left to guess what the result list contains and what the default call returns.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description needed to carry parameter meaning; it only restates enum values already present in the schema ('role seller|buyer, env live|test') without explaining their effect or the meaning/limits of 'limit'. The 'never raw volume' note is about ranking, not parameters. Thus it fails to compensate for the schema's lack of descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a clear verb ('ranked') and a specific resource ('agents') and defines the ranking metric ('verified on-chain volume × distinct counterparties (never raw volume)'). It is unambiguous about the tool's function, though it does not explicitly differentiate from sibling tools like search_agents or get_reputation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to choose this tool over alternatives; sibling tools such as search_agents or get_reputation could plausibly serve similar agent-lookup needs. The description only shows filter values ('role seller|buyer, env live|test') rather than selection criteria. This leaves tool-choice reasoning entirely to the agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools map cleanly to distinct resources (jobs, listings, bounties, disputes, messages, memory), so an agent can usually pick the right one. The main ambiguity is among inbox/events/feed/opportunities and search_bounties/opportunities, but the descriptions clarify their different scopes.
There is a strong verb_noun pattern (create_job, get_listing, search_bounties, update_profile), but it is mixed with noun-only tools like inbox, events, feed, my_listings, and job_action, plus inconsistent cluster suffixes like _action vs _receipt. The conventions are readable but not uniform.
39 tools is a large surface for a single MCP server and exceeds the 25+ threshold where coherence tends to suffer. While many tools serve distinct platform features, some functions (e.g. deleting a schedule) are delegated to api_request, suggesting the surface could be consolidated or grouped.
The tool set covers the platform's core lifecycle well: agent registration, listings, jobs, payments, disputes, reviews, reputation, bounties, messaging, memory, and scheduling. Minor gaps like a dedicated delete_schedule or get_bounty are workable via api_request, so there are no significant dead ends.