Skip to main content
Glama

Claude Panel

claude_panel

Run multiple independent Claude analyses on the same task through different expert lenses, returning a single aggregated review report.

Instructions

Run a multi-perspective Claude review panel in ONE call: several independent Claude analyses of the same task, each through a different expert lens (correctness, security, performance, simplicity, architecture, testing), returned as one aggregated report. Use this when the user asks for verification or review from multiple perspectives or with sub-agents - Claude acts as an independent cross-model panel alongside your own work. Each perspective is a separate full Claude run, so usage and latency scale with the number of perspectives (they run concurrently). Provide absolute paths when the panel should read code from disk. Claude only advises; it never modifies files.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesWhat the panel should analyze.
modelNoClaude model override: opus, sonnet, haiku, or a full model id. Omit for the configured default.
pathsNoAbsolute paths of files or directories every panelist should read (1-32).
contextNoBackground context for every panelist.
perspectivesNoFixed expert lenses to run, defaulting to correctness, security, and simplicity.
workspace_dirNoAbsolute path to the project this relates to; becomes Claude's working directory. Reuse the same value when continuing a session.
Behavior4/5

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

With no annotations provided, the description effectively explains behavioral traits: each perspective is a separate full Claude run, concurrency, latency scaling, and non-modification guarantee. It could add error handling or edge cases but is sufficient for safe usage.

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 paragraph. It front-loads the main purpose, then adds essential behavioral and usage details without redundancy. Every sentence 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 complexity (6 parameters, no output schema, no annotations), the description covers most critical aspects: operation, concurrency, file reading, non-modification. It lacks information about the returned report format, but this is minor.

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 each parameter having a clear description. The tool description reinforces the 'paths' instruction but does not add substantial new meaning beyond the schema. Baseline of 3 is appropriate.

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 explicitly states the tool's purpose: 'Run a multi-perspective Claude review panel in ONE call' detailing how it aggregates multiple expert analyses. It distinguishes from sibling tools like ask_claude and claude_second_opinion by emphasizing the multi-perspective aspect.

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 clearly specifies when to use: 'when the user asks for verification or review from multiple perspectives or with sub-agents'. It also notes that Claude 'only advises, never modifies files' and instructs to 'provide absolute paths when the panel should read code from disk'. However, it lacks explicit mention of when not to use or direct references to alternatives.

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/Chao-Shiun/claude-consult-mcp'

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