test_calendar
Annual testing schedule and compliance check.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| year | No |
Annual testing schedule and compliance check.
| Name | Required | Description | Default |
|---|---|---|---|
| year | 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 behavior. It does not state whether the tool is read-only, mutates data, returns information, or requires authentication. The phrase is entirely ambiguous about side effects and operational characteristics.
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 extremely short, which is concise, but it is under-specified to the point of being uninformative. There is no wasted prose, but the brevity does not compensate for the lack of actionable content. It is not a model of conciseness; it is simply minimal.
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's simplicity (one optional parameter, no output schema), the description should at least clarify what the tool outputs or what operation it performs. It does not. The description is incomplete for an agent to correctly select and invoke the tool with confidence.
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?
The schema has a single optional 'year' parameter with 0% description coverage. The description's mention of 'annual' vaguely hints that the year parameter represents the calendar year, but it does not explain the expected format, constraints, or behavior when the parameter is omitted. The description adds minimal semantic value beyond the raw 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 'Annual testing schedule and compliance check' is a noun phrase that restates the tool name without a clear verb or action. It does not specify whether the tool retrieves, updates, or validates something, and it fails to distinguish this tool from siblings like health_check or ping.
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 provided on when to use this tool versus alternatives. The description implies it is for annual testing schedules and compliance checks, but it does not mention any exclusions, prerequisites, or context when other tools would be more appropriate.
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.