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princeruhulofficial

mcp-agent-enterprise-guard

detect_silent_failures_tool

Flag tool calls that return empty or null content without an error to uncover silent failures and improve AI agent reliability.

Instructions

Flag tool calls that returned empty or null content without an error flag.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
logsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must carry full behavioral disclosure. It states the detection condition but does not reveal whether the tool is read-only, what exact output it produces beyond flagging, whether it requires special permissions, or how it handles edge cases (e.g., logs with error flags). The description provides only a minimal behavioral snapshot.

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 a single, well-structured sentence that is front-loaded with the action and outcome. It contains no filler or redundant information, making it maximally concise while still conveying the core purpose.

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?

The tool has a low complexity (one parameter, no nested objects) and an output schema, so return value details are not needed. However, the description omits crucial context about the input format, usage scenarios relative to sibling tools, and any behavioral caveats. It is adequate only for a superficial understanding, but not complete for an agent to invoke it correctly without additional external knowledge.

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?

Schema description coverage is 0%, and there is only one parameter ('logs') with no description of its expected structure or content. The description implies the tool consumes logs, but it does not explain what fields or formatting are required, nor does it compensate for the schema's lack of detail.

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?

The description uses a specific verb ('Flag') and identifies the resource ('tool calls') with a clear condition ('returned empty or null content without an error flag'). It fully distinguishes this from sibling tools, which focus on scoring reliability, evaluating permissions, and generating audit reports.

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

Usage Guidelines3/5

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

The description implies when to use the tool (when there is a concern about empty/null results without errors) but does not explicitly state alternatives or exclusionary conditions. No mention of when not to use it or how it relates to sibling tools, leaving the context implicit rather than explicit.

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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