agents_plan
[agents] Autonomous agent goal planning
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| goal | Yes | ||
| constraints | No | Optional constraints for the plan (e.g., time limits, resource caps) |
[agents] Autonomous agent goal planning
| Name | Required | Description | Default |
|---|---|---|---|
| goal | Yes | ||
| constraints | No | Optional constraints for the plan (e.g., time limits, resource caps) |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: no side effects, no cost/latency implications of an LLM-driven planning call, no determinism, no auth requirements. Five words of noun phrase give an agent no basis for predicting what invoking this does.
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?
It is short, but the brevity comes from under-specification rather than efficiency; the single phrase is a label, not a front-loaded statement of purpose. No information is structured for an agent to act on.
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 that takes a nested free-form constraints object, has no output schema, and no annotations, the description is completely inadequate. Nothing tells the agent what a returned 'plan' looks like or what happens after planning is produced.
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 50% — 'goal' has only an example and no description, while 'constraints' (a free-form additionalProperties object) is documented. The description adds nothing about what a goal string should contain or how constraint keys are interpreted, so it fails to compensate for the coverage 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 '[agents] Autonomous agent goal planning' is essentially a restatement of the tool name agents_plan with a namespace prefix; it names no verb and no outcome. It does not distinguish this tool from the many sibling agents_* tools (agents_intent_classify, agents_topology, agents_register), so an agent cannot tell what planning uniquely produces here.
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 when-to-use guidance, no prerequisites, and no mention of alternatives among ~60 siblings. The only hint is the word 'autonomous', which is not enough to route an agent between this and e.g. agents_intent_classify or route_capability.
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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