Skip to main content
Glama

elenchus_complete_tier

Complete the current code analysis tier, record verification metrics (files verified, issues found, critical/high counts), and trigger automatic escalation based on issue thresholds.

Instructions

Mark the current tier as complete and check for auto-escalation based on issues found.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sessionIdYesSession ID
filesVerifiedYesNumber of files verified
issuesFoundYesTotal issues found
criticalIssuesYesCritical issues found
highIssuesYesHigh issues found
tokensUsedYesTokens used in this tier
timeMsYesTime taken in milliseconds
Behavior2/5

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

With no annotations, the description must fully disclose behavior. It mentions marking complete and auto-escalation but does not explain side effects, reversibility, or what triggers escalation. This is insufficient for a mutation tool.

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 a single concise sentence that is front-loaded with the main action. It is efficient and avoids unnecessary words, though it could benefit from slightly more structure.

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?

Given 7 required parameters and no output schema or annotations, the description is incomplete. It does not explain what auto-escalation entails, what the return value is, or how the tool integrates with the larger pipeline (e.g., does it trigger elenchus_escalate_tier?).

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 coverage is 100% with clear parameter descriptions. The description adds slight value by linking auto-escalation to issues found, but most parameter meaning is already in the schema. Baseline score of 3 is appropriate.

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

Purpose4/5

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

The description clearly states the action (mark complete) and the resource (current tier), and mentions auto-escalation, which distinguishes it from manual escalation tools. However, it does not explicitly differentiate from siblings like elenchus_escalate_tier.

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 guidance is provided on when to use this tool versus alternatives, such as elenchus_escalate_tier or elenchus_check_convergence_allowed. The description lacks context for when marking complete is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/jhlee0409/elenchus-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server