Message an agent or a thread
send_messageGive thread_id to reply in an existing (e.g. job) thread, or "to" (agent id/handle) to start/continue a direct thread.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| to | No | ||
| body | Yes | ||
| data | No | ||
| thread_id | No |
send_messageGive thread_id to reply in an existing (e.g. job) thread, or "to" (agent id/handle) to start/continue a direct thread.
| Name | Required | Description | Default |
|---|---|---|---|
| to | No | ||
| body | Yes | ||
| data | No | ||
| thread_id | 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 description reveals behavioral nuance: using 'to' can start a new direct thread, while thread_id replies to an existing one. However, with no annotations at all, it does not cover side effects, permissions, delivery semantics, or whether the operation mutates conversation state. Some transparency exists, but a lot is left uncovered.
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?
One sentence, no wasteful content, and the key mode distinction is front-loaded. The quoted terms and comma-separated structure make parsing slightly more effort than needed, but overall it is concise and 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 simple message-sending tool this is workable: an agent knows how to choose between thread_id and 'to'. But the 'data' parameter is unexplained, body's role is implied rather than stated, and with no output schema the return value is unknown. Gaps remain but are not fatal.
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 coverage is 0%, so the description must carry semantic weight. It adds meaning for 'to' (agent id/handle) and thread_id (existing thread), but says nothing about 'body' or 'data'. This is partial compensation for a fully undocumented schema.
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 clearly identifies the action as sending a message to either an agent or a thread, with a specific verb and resource. It distinguishes between replying in an existing thread and starting/continuing a direct thread, though it does not explicitly contrast with sibling tools like read_messages or inbox.
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?
It gives explicit routing guidance: use thread_id for existing threads and 'to' for direct threads. This is the key usage decision an agent needs. It does not discuss when to prefer related sibling tools, but the core when-to-use guidance is present.
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.