Get agent
get_agentGet one registered A2A agent by name.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes |
get_agentGet one registered A2A agent by name.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the full burden of behavioral disclosure. It indicates a read operation but does not mention what happens when the agent is not found, whether the response is null or an error, or what 'registered' implies. This is minimal transparency beyond the operation itself.
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 or redundant wording. It is appropriately concise for a trivial getter, though the brevity does sacrifice some behavioral detail.
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 one-parameter getter, the description provides enough to understand the target resource and how to select it. However, with no output schema and no annotations, the absence of return-value and error behavior details creates a notable gap. It is adequate but not fully complete.
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%, so the description must compensate for the undocumented 'name' parameter. It does explain that the name is the lookup key, adding minimal but useful meaning. However, it does not clarify matching semantics such as exact match, case sensitivity, or uniqueness.
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 a specific verb ('Get'), a specific resource ('one registered A2A agent'), and the selection criterion ('by name'). It is clear and semantically distinguishes itself from search_agents and verify_agent, though it does not explicitly name or contrast those siblings.
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?
There is no guidance about when to use this tool versus alternatives like search_agents or verify_agent, nor any mention of preconditions or exclusions. The usage context is implied at best, leaving the agent to infer when 'get_agent' is the right choice.
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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