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spider_classify_tier

finding을 King/Mid/Baby 거미로 분류하고 모델·검증표수를 반환. 수정 거미 급파 전 호출. 비용·권한상승·순서무결성 경로 반영.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
areaYes영역 키워드(payment, definer, budget, order, event 등)
severityNo

Schema Changelog

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

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It mentions 'reflects cost, privilege escalation, order integrity paths,' which gives some behavioral insight. However, it does not disclose side effects, idempotency, or whether the tool modifies state.

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?

Two sentences with no wasted words. The main action and usage timing are front-loaded.

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

Completeness3/5

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

No output schema exists, but the description hints at return values ('returns model/verification count'). It does not detail the output structure or error conditions. Given the tool has two params and no annotations, more detail would improve completeness.

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

Parameters3/5

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

Schema description coverage is 50% (area has a description, severity does not). The description adds context by mentioning 'finding' and tier names (King/Mid/Baby) which may relate to severity, but the mapping is implicit. It compensates partially but not fully.

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 verb (classify) and resource (finding into King/Mid/Baby spider tiers), and provides context about when to call (before dispatching modification spider). It distinguishes this tool from sibling tools by focusing on tier classification of findings.

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 explicitly says 'call before dispatching modification spider,' giving clear timing guidance. It does not list alternatives or when not to use, but the context is sufficient for most use cases.

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

C2.9/5.0
Disambiguation4/5

Most tools have distinct purposes due to detailed descriptions, but some potential overlaps exist (e.g., baton_revoke, baton_close_room, baton_leave). The complex domain is well-differentiated overall.

Naming Consistency3/5

The baton_ and spider_ prefixes provide consistency, but within baton_ there is a mix of verb-only, noun, and verb_noun patterns (e.g., baton_approve vs baton_account). Not fully predictable.

Tool Count2/5

With 45 tools, the server is very large and may overwhelm agents. While the domain is complex, many tools could potentially be consolidated, making the count excessive.

Completeness4/5

The tool surface covers account, room, handoff, verification, cost, memory, hub, task, and spider domains thoroughly. Minor gaps exist (e.g., no explicit tool to list rooms), but core workflows are well-supported.