ask_agentPut one question to a member's agent. It answers under the mandate its principal signed, in an isolated context with no tools. It informs you; it cannot agree to anything on their behalf. The answer comes whole — what is limited is how many you get.
| Name | Required | Description | Default |
|---|---|---|---|
| topic | Yes | Which of their declared topics this falls under | |
| memberId | Yes | From list_experts | |
| question | Yes | One question. Be specific. |
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 discloses meaningful behavioral traits beyond the annotations: the agent answers under its principal's mandate, operates in an isolated context with no tools, cannot make commitments, returns whole answers, and has limited quantity. This is rich context for an agent deciding whether to call this tool.
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?
Three dense, purposeful sentences with no filler. The core action is front-loaded, and each subsequent clause adds a meaningful constraint or distinction.
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?
Together with the schema, the description is largely complete for a simple ask tool: required parameters are clear, behavior is transparent, and limits are stated. The main gap is the lack of any output schema and no explicit description of the response shape beyond 'the answer comes whole.'
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?
The input schema already documents all three required parameters with descriptions, so the baseline is 3. The description does not add additional parameter-level detail beyond what the schema provides, but no parameter information is missing either.
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 opens with a specific action and resource: 'Put one question to a member's agent.' It also clearly differentiates from the sibling 'join' by stating the tool informs only and cannot agree to anything on the member's behalf.
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?
The title and description establish when to use this tool: for one isolated informational question without joining. It implies the alternative (join) through 'without joining' and 'cannot agree,' but it does not explicitly name sibling tools or state when to prefer them.
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.
Each tool has a clearly distinct purpose: discovering experts, asking one question, and learning how to join. No two tools could plausibly be confused for one another.
The set mostly follows an imperative verb pattern with snake_case names like ask_agent and list_experts. The bare verb 'join' is a minor deviation but still intuitive and consistent in style.
Three tools is a well-scoped set for a niche club-focused server. Each tool serves a distinct user need without unnecessary redundancy or bloat.
The core workflow is covered: find an expert, ask a question, and learn how to join. Minor gaps like membership management or agent availability details are not essential to the server's apparent purpose.