Skip to main content
Glama

coc_status

Retrieve current Chain of Consciousness status and statistics, including chain length, genesis and latest timestamps, event type counts, agent counts, and file path. Understand the state of provenance logging for AI agent trust.

Instructions

Get current status and statistics of the Chain of Consciousness.

Returns:
    JSON with chain length, genesis/latest timestamps, event type counts,
    agent counts, and chain file path

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries full burden. It describes the tool as read-only ('Get'), but does not explicitly state it has no side effects or mention any behavioral traits like safety, rate limits, or authentication requirements. The return values are listed, providing some transparency.

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 concise with a front-loaded purpose statement and a clear list of return fields. Every part is informative and there is no unnecessary content.

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's simplicity (no parameters, output schema present), the description is nearly complete. It covers the purpose and return values, but could mention that it's a safe, read-only operation. However, it is adequate for an agent to understand usage.

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?

The input schema has zero parameters, so per the rule baseline is 4. The description adds meaning by detailing the return fields, which is helpful beyond the empty 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 tool's purpose with a specific verb ('Get') and resource ('current status and statistics of the Chain of Consciousness'). It effectively distinguishes from sibling tools like coc_add or coc_init, which perform different operations.

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 does not explicitly state when to use this tool versus alternatives. While the context of siblings implies a read-only status check, there is no direct guidance on prerequisites or exclusions.

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/alexfleetcommander/agent-trust-stack-mcp'

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