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MarkAC007

mcp-server-scf

by MarkAC007

scf_get_window_assessment

Retrieve a windowed AI assessment by its ID and obtain complete details including window bounds, frequency, coverage, status, findings, and cost.

Instructions

Get one windowed AI assessment by ID. Returns full detail: window bounds, frequency, file IDs, coverage, expected artifact types, status, relevance score, findings, summary, hashes, tokens, cost.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
org_idYesOrganization UUID — obtain from scf_list_organizations
assessment_idYesWindowed assessment UUID — obtain from scf_list_window_assessments
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full burden. It lists return fields but does not explicitly state that the operation is read-only, idempotent, or free of side effects. It also omits any authentication requirements or rate limits, though these may be assumed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loaded with the core action and followed by a concise list of return fields. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description usefully enumerates the key return fields. However, it lacks details on error handling, pagination (not needed for single-object fetch), or what happens if the assessment is not found. Overall, it is sufficiently complete for a simple retrieval tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. The description does not add meaning beyond the schema; it only reiterates that the tool gets by ID, which is already clear from the schema parameter descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action 'Get' and the resource 'one windowed AI assessment by ID', listing the specific fields returned. This distinguishes it from sibling tools like scf_list_window_assessments (list) and scf_get_window_assessment_summary (summary).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is used when you have a specific assessment ID, but does not provide explicit guidance on when to use this versus alternatives like scf_get_window_assessment_summary or scf_list_window_assessments. No exclusion criteria are mentioned.

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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