human_bridge_request
Prepare an authorized human-in-the-loop handoff request. No human is contacted automatically.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| request | Yes | ||
| authorization | No |
Prepare an authorized human-in-the-loop handoff request. No human is contacted automatically.
| Name | Required | Description | Default |
|---|---|---|---|
| request | Yes | ||
| authorization | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It does clearly state a key behavior: 'No human is contacted automatically,' which is valuable. However, it does not disclose other relevant details such as whether authorization is required to proceed, what side effects (if any) occur when the request is prepared, or reversibility. The single disclosed behavior is meaningful but insufficient for full transparency.
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, front-loaded sentence with no filler. It combines the core purpose and a critical behavioral caveat efficiently. It loses one point because the extreme brevity leaves key dimensions (parameters, usage) unaddressed, but as a standalone sentence it is well-structured.
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 tool with 2 parameters, no output schema, and no annotations, the description is minimal. It does not explain the semantics of 'handoff request,' what 'authorized' entails, or what the parameters should contain. The key behavioral fact is noted, but an agent would still struggle to correctly formulate the request payload. This is inadequate for safe and correct invocation.
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 compensate by explaining either parameter. It never mentions 'request' or 'authorization' or their expected formats, purposes, or relationships. An agent has no clue what content to put in the required 'request' field or what 'authorization' should be, making this a significant gap.
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 states a specific verb and resource: 'Prepare an authorized human-in-the-loop handoff request.' It also adds a distinguishing negation, 'No human is contacted automatically,' which helps differentiate this from tools that might actually invoke human contact. However, it does not explicitly name sibling tools or contrast its scope with them, so it falls short of a 5.
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 description gives no guidance on when to use this tool versus alternatives. It mentions 'authorized' and 'handoff request' but does not explain the conditions that should trigger use or when to choose a sibling such as human_oversight_policy or prepare_outbound_invitation. The only contextual hint is the negation about automatic human contact, which is a behavioral note rather than an explicit usage rule.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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