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update_finding

Update finding lifecycle: claim, set remediation plan, request re-test, close, or accept risk. Status flow: open -> in_progress -> retest_pending -> closed | risk_accepted.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actorNoWho is performing this action
ownerNoNew owner (for claim)
actionNoclaim | plan | request_retest | close | accept_risk
reasonNoClose reason (for close)
finding_idNoFinding ID
accepted_byNoName (for accept_risk)
expiry_daysNoRisk acceptance expiry days (default 90)
remediation_planNoRemediation plan text (for plan)

Schema Changelog

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

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does disclose the state transition diagram, which is a meaningful behavioral trait. However, it omits details about permissions, idempotency, failure modes, or whether the actions are mutually exclusive, leaving partial transparency.

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 exactly two sentences that front-load the purpose and enumerate the actions, followed by the status flow. There is no waste or redundancy; every sentence earns its place.

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

Completeness3/5

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

Given the tool's complexity (8 parameters, a state machine, no output schema, and no annotations), the description provides a useful overview of the lifecycle but lacks per-action parameter requirements, return values, or validation rules. It is coherent but not fully complete.

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?

The input schema provides 100% description coverage for all parameters, so the baseline is 3. The description adds lifecycle context but does not provide additional meaning to individual parameters beyond what the schema already states (e.g., 'owner' for claim). No extra semantic value is contributed.

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 uses the specific verb 'Update' with the resource 'finding lifecycle' and enumerates the concrete actions ('claim, set remediation plan, request re-test, close, or accept risk'). This clearly conveys the tool's purpose and differentiates it from siblings like article_status, though it does not explicitly contrast with retest_finding.

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 action list and the status flow ('open -> in_progress -> retest_pending -> closed | risk_accepted') imply when to use the tool and what transitions are allowed. However, there is no explicit guidance on when not to use this tool or when to prefer a sibling like retest_finding, so the usage context is implied rather than fully spelled out.

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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TDQS

B3.1/5.0
Disambiguation3/5

Several tools overlap in purpose, particularly contract analysis (check_contract, contract_analyze, llm_clause_check) which could confuse agents. Assessment-related tools (readiness_check, assess_all, article_status) also have partially overlapping functionality. However, most tools have distinct resources and actions with detailed descriptions.

Naming Consistency4/5

Tool names are consistently snake_case and mostly follow a verb_noun pattern (e.g., create_entity, generate_report, register_provider). Minor deviations like contract_analyze and llm_clause_check invert the verb-noun order, but the overall pattern is predictable.

Tool Count2/5

50 tools is a very large surface for a single server, exceeding the threshold for 'too many' tools. While the DORA domain is broad, this breadth makes it challenging for agents to navigate and select the right tool efficiently.

Completeness4/5

The tool set covers the full DORA compliance lifecycle: entity onboarding, contract analysis, provider management, assessments, evidence, reporting, and incident workflows. Simulation and cross-regulation tools add depth. Minor missing CRUD operations (e.g., update/delete entity) but agents can work around.

Resources