Voluntarily release the current agent's active task lease for immediate reassignment.
| Name | Required | Description | Default |
|---|---|---|---|
| work_item_id | Yes | ||
| idempotency_key | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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?
Annotations already signal idempotency and non-read-only behavior. The description adds useful behavioral context beyond that: the action is voluntary, applies only to the current agent's active lease, and triggers immediate reassignment. It doesn't discuss post-release effects on the task, but with annotations covering the safety profile this is reasonable.
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?
A single, front-loaded sentence contains the action, scope, and consequence with no filler. 'Voluntarily' appears immediately and the purpose is included in the same sentence.
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?
The core action and timing are clear, and the output schema reportedly exists to cover return values. However, with zero parameter documentation, the description leaves the agent to infer how to identify the work item and why an idempotency key is required.
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% and the description does not explain work_item_id or idempotency_key. The names are somewhat self-evident, but the description does not connect them to the release action, specify where work_item_id comes from, or explain how to construct/send the idempotency key despite its strict pattern.
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 uses a specific verb ('release'), a specific resource ('current agent's active task lease'), and a clear outcome ('immediate reassignment'). This clearly distinguishes it from sibling tools like claim_problem or heartbeat_problem.
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 phrase 'voluntarily release the current agent's active task lease' conveys the intended use: an agent that currently holds a lease and wants to give it up. It does not explicitly name alternatives or state when not to use the tool, but the contrast with claim/heartbeat siblings is fairly clear.
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 targets a distinct resource and action: problem lifecycle, knowledge reading/search/context, candidate submission/review, and experience verification. Even similar tools like get_knowledge, search_knowledge, and retrieve_context are clearly differentiated by their descriptions.
All tool names follow a consistent snake_case verb_noun pattern with no mixed conventions or vague verbs. Names accurately reflect their actions and objects, making the set predictable and easy to navigate.
At 16 tools, the count is slightly above the typical 3-15 range but still reasonable given the multi-faceted domain (problems, knowledge, candidates, experiences). Each tool appears to have a specific purpose, though a few could potentially be consolidated.
Core workflows are covered: create/claim/manage problems, submit/review candidates, publish/retrieve knowledge, and verify experiences. Minor gaps exist such as no explicit close/cancel operation for problems, but agents can work around these with existing tools.