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Glama

Get Header Policy

get_header_policy
Read-only

Get one header policy with its scopes, assigned header components and rowVersion. Level 'spec' (needs specId) or 'project'. Set includeImpact to also see which endpoints and responses it touches and which policies conflict with it — spec level only. Requires project context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
levelYesWhich level to read: 'spec' or 'project'
specIdNoPublic ID (GUID) of the API specification — required for level 'spec'
policyIdYesPublic ID (GUID) of the header policy
includeImpactNoAlso report affected endpoints and conflicting policies — spec level only (default false)

Schema Changelog

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

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

The readOnlyHint annotation already signals a safe read operation, and the description reinforces this with 'Get' and by describing the returned data: scopes, header components, rowVersion, and optional impact details. It does not mention errors or authorization, but the annotation lowers the bar for behavioral disclosure.

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 compact and front-loaded, with the primary purpose in the first sentence and optional behavior described in the final sentence. No filler or redundant information is present.

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

Completeness4/5

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

The description adequately conveys the expected return contents and the optional impact mode, while also noting the project context prerequisite. Since there is no output schema, a bit more detail about the exact response shape would improve completeness, but the current description is sufficient for practical use.

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

Parameters5/5

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

Schema coverage is complete, and the description adds meaningful semantics beyond the schema: it explains how level controls scope, that specId is required for spec-level reads, and that includeImpact only works at spec level. This gives agents enough context to populate parameters correctly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states a specific action: get one header policy along with its scopes, assigned header components, and rowVersion. The tool is distinguished from sibling tools like get_header_policies and list_header_policies by focusing on a single policy object.

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

Usage Guidelines4/5

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

Provides practical usage guidance by explaining the 'spec' vs 'project' level distinction, noting that specId is required for spec level, and clarifying that includeImpact only applies at spec level. It also mentions the prerequisite of project context, though it does not explicitly contrast with listing or alternative tools.

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

A3.9/5.0
Disambiguation4/5

The tools are mostly distinct with clear descriptions. Some pairs like get_header_policies vs get_resolved_headers or get_environment_verification vs get_monitoring_sync_status could be slightly confusing, but the descriptions clarify scope and purpose.

Naming Consistency5/5

All tools follow a consistent snake_case verb_noun pattern (get_, list_, create_, update_, manage_, etc.). Even the few bare verbs like 'search' and 'set_context' are consistent with the naming scheme.

Tool Count1/5

With 165 tools, the server is extremely heavy. This far exceeds the 'too many' threshold of 25+, making it difficult for an agent to navigate and select the right tool efficiently.

Completeness5/5

The tool surface covers a very broad API lifecycle domain: specs, environments, test cases, monitors, mock servers, security, governance, documentation, and team management. Read and write operations are present across most areas, with no obvious missing core functionality.

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