complete_energy_assessment
Finalize an assessment and trigger the recommendation workflow. Free. [free]
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| assessmentId | Yes |
Finalize an assessment and trigger the recommendation workflow. Free. [free]
| Name | Required | Description | Default |
|---|---|---|---|
| assessmentId | Yes |
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 must carry the burden of behavioral disclosure. It discloses that the tool is free and triggers a recommendation workflow, which is useful. However, it does not state whether the action is irreversible, what side effects occur, or any prerequisites (e.g., assessment must be complete). This partial disclosure earns a middle score.
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 extremely short and front-loaded with the key action, but it contains redundancy: 'Free.' and '[free]' both state the same information. This wastes a sentence that could have been used for behavioral or parameter details. It is concise but not optimally efficient.
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 triggers a workflow, the description is incomplete. It does not explain what the 'recommendation workflow' entails, whether the assessment is permanently finalized, if there is any undo capability, or what happens after invocation. Given the presence of related sibling tools, more context is needed to prevent misuse.
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 parameter. The description mentions 'assessment' but does not explain the assessmentId parameter's format, origin, or constraints. While the parameter name is self-explanatory, the description adds no extra meaning beyond the schema.
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 action ('Finalize an assessment') and its purpose ('trigger the recommendation workflow'). It distinguishes this tool from siblings like create_energy_assessment (which creates) and generate_energy_recommendation_preview (which previews) by indicating a finalization/trigger step.
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 explicit guidance is provided on when to use this tool versus alternatives. The description implies it is used after an assessment exists, but it does not name alternatives, prerequisites, or scenarios where another tool should be chosen. Sibling tools are not referenced.
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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