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christophejlegros-lgtm

ASTRA — Unified Research Lab + MCP Server

tcai_self_model

Models self-representation by integrating interoception, epistemic state, temporal continuity, and attention schema for consciousness research.

Instructions

Self-representation state: interoception, epistemic model, temporal continuity, attention schema

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

No annotations provided; description does not disclose read-only/destructive nature, auth needs, side effects, or output behavior. Fails to carry transparency burden.

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?

Single short sentence with minimal waste, but lacks a verb and could be more informative without adding length.

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?

For a no-param tool, description lists topics but omits what the tool returns, whether it mutates state, or how it interacts with the system. Incomplete for full understanding.

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?

No parameters; schema coverage is 100% trivially. Description adds context on the tool's content (interoception, etc.), which is useful since the schema is empty.

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

Purpose3/5

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

Description names the resource ('self-representation state') and lists aspects but lacks a verb indicating action. It's vague whether this is a getter, setter, or state machine.

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 on when to use this tool versus siblings like tcai_workspace_state or tcai_metaconsciousness. No exclusions or alternatives given.

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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