Skip to main content
Glama

team_assignment

Manage Red/Blue/White/Purple team assignments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
red_teamNo
blue_teamNo
white_teamNo
exercise_idYes
purple_teamNo

Schema Changelog

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

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. 'Manage' implies mutation but does not explain effects (e.g., whether existing assignments are overwritten, whether changes are reversible, or if authorization is needed). The description is too vague to set accurate expectations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no redundant wording. It is easy to read and front-loads the key resource, though its brevity borders on under-specification rather than tight efficiency.

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

Completeness1/5

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

Given 5 parameters, no annotations, and no output schema, the description is drastically incomplete. It does not explain the creation/update behavior, parameter semantics, expected inputs, or return values, making it inadequate for an agent to use reliably.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 5 parameters with 0% coverage, and the description adds only a minimal hint that red_team, blue_team, white_team, and purple_team relate to team assignments. It does not explain the value format, whether these are identifiers or names, or how they relate to exercise_id. The description fails to compensate for the schema's lack of documentation.

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 clearly identifies the tool's focus on managing Red/Blue/White/Purple team assignments, which distinguishes it from sibling tools like attack_chain or threat_profile. However, the verb 'manage' is generic and does not specify whether it creates, updates, or deletes assignments, so it lacks the specificity of verbs like 'list' or 'create'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, such as register_exercise or auto_simulate. It neither states prerequisites nor exclusions, leaving the agent without context for appropriate usage.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

C2.8/5.0
Disambiguation4/5

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.

Naming Consistency3/5

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.

Tool Count5/5

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.

Completeness4/5

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.

Resources