Cyphrex

verify_agent

Fetch/verify agent details

Input Schema

TableJSON Schema

Name	Required	Description	Default
`agentId`	Yes

Schema Changelog

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

Changed3 schema fields changedAug 17, 2026

changedInput schema / additionalProperties
```
Previous value: -falseNew value: +true
```

removedInput schema / properties / apiKey

Removed value: -{
-  "minLength": 1,
-  "type": "string"
-}

changedInput schema / required

Previous value: -[
-  "agentId",
-  "apiKey"
-]New value: +[
+  "agentId"
+]

First observedApr 30, 2026

TDQS

C2.3/5.0

Behavior2/5

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

With no annotations, the description carries full responsibility for behavioral transparency, but it only states a generic action. It does not disclose whether the operation is read-only, what happens if the agent is not found, or any side effects.

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 extremely short, consisting of a single phrase with no unnecessary words. However, the phrasing 'Fetch/verify' is awkward and could be clearer, and the brevity may sacrifice needed detail.

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

Completeness2/5

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

For a simple tool with one parameter and no output schema, the description still fails to convey important context such as the return value, error behavior, or when verification is needed. It omits any usage guidance and does not clarify the tool's role among siblings.

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

Parameters1/5

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

The input schema lists a single required parameter, agentId, but the description does not explain its meaning or format beyond the schema's minLength constraint. Schema description coverage is 0%, so the description should compensate, but it does not.

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

Purpose3/5

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

The description uses 'Fetch/verify' as a compound verb, which is ambiguous about whether the tool retrieves or validates agent details. It names the resource ('agent details') but does not distinguish it clearly from sibling tools like check_action or register_agent.

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?

No usage guidance is provided. The description does not specify when to use verify_agent instead of related tools such as check_action or get_audit_log, nor any exclusions or alternative scenarios.

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

B3.2/5.0

Disambiguation5/5

Each tool targets a distinct action: checking proposed actions, logging/reading audit data, proxying requests, registering/verifying agents, scanning different payload types, and setting profiles. The separation between check_action and scan_mcp_tool_result is clear from their descriptions (proposed action vs. upstream result).

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (e.g., check_action, get_audit_log, set_behavior_profile). No mixing of styles or vague verbs beyond standard operation names.

Tool Count5/5

With 9 tools, the set is well-scoped for a security-focused MCP governance server. Each tool addresses a clear need without redundancy or excessive granularity.

Completeness4/5

The tool set covers the core lifecycle: agent registration, verification, behavior profiling, action checking/logging, audit retrieval, proxying, and scanning. Minor gaps include no explicit agent removal or policy management tools, but these may be intentionally outside the server's scope.

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