Skip to main content
Glama
MarkAC007

mcp-server-scf

by MarkAC007

scf_get_evidence_upgrade_recommendations

Read-only

Get upgrade-path recommendations for evidence maturity: target level, effort, impact, and step-by-step actions to improve collection.

Instructions

Get upgrade-path recommendations for maturing one evidence item's collection: target level, effort, impact, and step-by-step actions — the same guidance shown in the platform UI.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
org_idYesOrganization UUID — obtain from scf_list_organizations
evidence_idYesEvidence ID (e.g., 'E-RSK-02') — obtain from scf_list_evidence

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.7.0

TDQS

A3.6/5.0
Behavior3/5

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

With readOnlyHint=true already declared, the safety profile is covered by annotations. The description adds useful context by specifying what the response contains (target level, effort, impact, step-by-step actions) and that it mirrors platform UI guidance, but it does not disclose response format, pagination, or any other behavioral traits. Adequate but not rich.

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?

A single well-structured sentence that front-loads the verb and resource, lists the output components in a compact colon-separated form, and closes with a grounding remark about the platform UI. Every word earns its place with no redundancy.

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?

For a read-only tool with two fully documented parameters and no output schema, the description compensates well by naming the expected output components. Minor gaps remain: no indication of response structure/format beyond the component list and no explicit exclusions against sibling tools, but nothing an agent needs to invoke it correctly is missing.

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%, and the parameter descriptions are genuinely helpful, including source-lookup hints ('obtain from scf_list_organizations') and an example format ('E-RSK-02'). The tool description itself adds no parameter-level meaning, so the baseline of 3 applies as the schema carries the burden.

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

Purpose4/5

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

The description states a specific verb ('Get'), resource ('upgrade-path recommendations'), and scope ('one evidence item's collection'), then enumerates concrete output components (target level, effort, impact, step-by-step actions). This is clear enough for an agent to understand what the tool does, though it does not explicitly differentiate itself from the similarly named sibling scf_get_evidence_suggestions.

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?

Usage is implied: an agent can infer this tool is for when it needs upgrade/maturity-path recommendations for a single evidence item, and the parameter descriptions hint where to obtain IDs. However, the description names no alternatives and gives no when-not-to-use guidance, leaving the distinction from scf_get_evidence_suggestions and scf_get_evidence_maturity to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/MarkAC007/mcp-server-scf'

If you have feedback or need assistance with the MCP directory API, please join our Discord server