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Glama

Scan Stack

scan_stack
Read-onlyIdempotent

Bulk pre-connect trust check for a whole dependency set — paste a requirements.txt, package.json, MCP client config, or a plain list and get a trust verdict per item plus a stack summary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYes
summaryYes

Schema Changelog

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

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and no destructiveness. The description adds context: it's a 'pre-connect trust check' that returns 'trust verdicts', implying read-only and non-destructive behavior. It does not contradict annotations and provides additional behavioral insight beyond them.

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 one sentence, tightly packed with essential information: action, input formats, and output summary. No extraneous words, front-loaded, and every part earns its place.

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?

Given the tool has one parameter and an output schema (indicated), the description covers input flexibility and output. It could be more explicit about the verdict format, but overall it is sufficiently complete for this simple tool.

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

Parameters4/5

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

With 0% schema description coverage, the description compensates by explaining the single parameter 'input' accepts various dependency list formats (requirements.txt, package.json, etc.) and describes the output structure. This adds significant meaning beyond the raw schema.

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 clearly states the action (bulk pre-connect trust check), the resource (dependency set/stack), and the output (trust verdict per item + summary). It provides specific input format examples, distinguishing it from sibling tools like 'check_agent_trust'.

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?

The description gives clear context on when to use the tool (bulk pre-connect trust checks for dependency sets) and lists input formats (requirements.txt, package.json, etc.). However, it does not explicitly state when not to use or provide direct comparisons to alternatives.

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

A4.1/5.0
Disambiguation5/5

Each tool has a distinct purpose: agent trust profile, comparison, history, leaderboard, categories, bulk scan, search, and MCP server verification. No overlap in functionality.

Naming Consistency5/5

All tools use consistent snake_case and verb_noun pattern (e.g., check_agent_trust, verify_mcp_server). No mixing of conventions.

Tool Count5/5

8 tools is well-scoped for a trust-tracking server, covering individual checks, comparisons, history, bulk scanning, and discovery without excess.

Completeness5/5

The tool surface covers all primary use cases: single agent lookups, comparisons, historical trends, leaderboards, category browsing, bulk scanning, and specific MCP server checks. No obvious gaps.