remediation_plan
Track remediation of TLPT findings. Set add=true to create.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| add | No | ||
| owner | No | ||
| action | No | ||
| due_date | No | ||
| finding_id | No | ||
| exercise_id | No |
Track remediation of TLPT findings. Set add=true to create.
| Name | Required | Description | Default |
|---|---|---|---|
| add | No | ||
| owner | No | ||
| action | No | ||
| due_date | No | ||
| finding_id | No | ||
| exercise_id | 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?
No annotations exist, so the description carries full responsibility. It discloses only that add=true creates, but says nothing about what happens without add, side effects, permissions, or return values. This is insufficient for a tool with 6 parameters.
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 concise with no fluff, front-loading the core purpose. However, the phrase 'Set add=true to create' is somewhat cryptic and could be clearer, preventing a perfect score.
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?
The tool has 6 parameters, no annotations, and no output schema. The description is far too brief for the complexity, lacking parameter explanations, behavior details, and return value information. It is severely inadequate for an agent to invoke correctly.
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?
With 0% schema description coverage, the description must compensate but only mentions 'add.' Other parameters like owner, action, due_date, finding_id, and exercise_id are left unexplained. While names are somewhat intuitive, the description adds minimal value 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 states 'Track remediation of TLPT findings' which clearly identifies the resource and action. The addition 'Set add=true to create' specifies a creation mode, distinguishing it from simply tracking. However, the ambiguity between track and create could be clearer, making it not a perfect 5.
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?
The only usage guidance is 'Set add=true to create,' which implies a conditional behavior but does not explain when to use this tool versus alternatives like finding_register or phase_tracker. No exclusions or contexts are provided.
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.