finding_register
Log a pentest/TLPT finding.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| title | Yes | ||
| severity | Yes | ||
| attack_path | No | ||
| exercise_id | No | ||
| recommendation | No | ||
| mitre_technique | No | ||
| system_affected | No | ||
| detection_status | No |
Log a pentest/TLPT finding.
| Name | Required | Description | Default |
|---|---|---|---|
| title | Yes | ||
| severity | Yes | ||
| attack_path | No | ||
| exercise_id | No | ||
| recommendation | No | ||
| mitre_technique | No | ||
| system_affected | No | ||
| detection_status | No |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of disclosing behavioral traits. It only states the action 'log' without explaining side effects, whether it creates a persistent record, requires an existing exercise, or if changes are reversible. This is insufficient for a mutation tool.
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 a single concise sentence with no wasted words, but it is under-specified for a tool with 8 parameters. It is not a tautology, but it lacks necessary detail to be considered well-structured.
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?
Given the tool has 8 parameters, no annotations, no output schema, and a single-sentence description, the context is severely incomplete. It fails to explain how the finding relates to exercises, what happens after logging, or any dependencies. This is completely inadequate for the complexity.
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 parameter semantics. It does not mention or explain any of the 8 parameters. Although property names like 'severity' and 'mitre_technique' are self-explanatory, the description adds no value in guiding the agent on how to populate fields.
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 'Log a pentest/TLPT finding' uses a specific verb (log) and resource (finding), clearly distinguishing it from siblings like register_exercise and remediation_plan. It states exactly what the tool does without ambiguity.
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 guidance is given on when to use this tool versus alternatives. It does not mention prerequisites, when to avoid, or any context such as 'use during an engagement' or 'after identifying a vulnerability'. The usage is merely implied by the name and description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have distinct purposes, but potential confusion exists between 'auto_simulate' and 'generate_scenarios' (both involve scenario generation) and between 'health_check' and 'ping' (both test connectivity). Descriptions help mitigate but do not eliminate ambiguity.
Tool names consistently use snake_case but mix verb-based (generate_scenarios, register_exercise) and noun-based (evidence_bundle, threat_profile) patterns. 'ping' is a single word, breaking the pattern. This inconsistency may confuse agents about whether a tool performs an action or represents a resource.
17 tools cover the breadth of TLPT activities (scoping, simulation, findings, compliance) without being overwhelming. Each tool serves a distinct part of the workflow, making the count well-scoped for domain complexity.
The tool set covers major TLPT lifecycle phases: preparation (threat_profile), scenario generation (generate_scenarios, auto_simulate), execution mapping (attack_chain, mitre_map), findings (finding_register, remediation_plan), compliance (obligation_map, sync_to_ampel), and scheduling (test_calendar). Minor gaps like a dedicated reporting tool exist but can be worked around.