waiting_on_show
Inspect a thread and its evidence snippets to track pending decisions or replies.
Instructions
Show one thread with evidence snippets.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| thread_key | No |
Inspect a thread and its evidence snippets to track pending decisions or replies.
Show one thread with evidence snippets.
| Name | Required | Description | Default |
|---|---|---|---|
| thread_key | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must fully disclose behavior, but it only says 'show one thread' without mentioning authentication, side effects, or what 'evidence snippets' entails.
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 concise sentence with no unnecessary words, but is arguably too brief, missing key details.
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?
Given one parameter, no output schema, and no annotations, the description lacks completeness: no return type, prerequisites, or parameter semantics are provided.
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% and the description does not explain the 'thread_key' parameter, its format, or how it relates to the tool's action.
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 states the tool shows one thread with evidence snippets, distinguishing it from siblings like waiting_on_list which likely shows multiple threads.
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 on when to use this tool versus alternatives like waiting_on_list or waiting_on_loops; the context is entirely implied.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/arkaigrowth/waiting-on'
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