ASTRA

tcai_second_order

Read-onlyIdempotent

Retrieve a self-evidencing loop snapshot covering meta-learning velocity, RND curiosity, capability model, meta-consciousness score, and developmental stage to track predictive self-correction.

Instructions

Second-order (self-evidencing) loop snapshot: meta-learning velocity, RND curiosity (epistemic value), capability model, meta-consciousness score, developmental stage. The system observing and correcting its own predictive capacity (Legros 2026 §3.2).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "tcai_second_order"
  }
}

Input Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv3.1.0Sep 23, 2026

TDQS

A3.5/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so safety and side-effect behavior are covered. The description adds value beyond that by enumerating the conceptual contents of the snapshot (epistemic-value curiosity estimate, meta-consciousness score, developmental stage) and framing it as self-monitoring, which tells the agent roughly what it will get back despite no output schema.

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?

Two dense sentences, front-loaded with the resource name and its contents before the explanatory gloss. The citation (Legros 2026 §3.2) is arguably decorative but costs little. No redundancy or padding.

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 zero-param, read-only snapshot with no output schema, the description does enough to convey what comes back. But it omits any routing guidance relative to the many overlapping tcai_* siblings, which is the main thing an agent needs to invoke the right tool in this crowded namespace.

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 tool takes 0 parameters, so per the rubric the baseline is 4. Nothing in the schema needs compensating for, and the description appropriately says nothing about inputs.

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 names the resource (a 'second-order (self-evidencing) loop snapshot') and enumerates its contents: meta-learning velocity, RND curiosity, capability model, meta-consciousness score, developmental stage. However, it never distinguishes itself from siblings like tcai_meta_learning, tcai_curiosity, tcai_capability_model, and tcai_metaconsciousness, which appear to be the very components this tool aggregates. Clear but no sibling differentiation.

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 when-to-use guidance is given. With ~60 siblings including several tcai_* tools covering exactly the same concepts, the agent gets no signal about whether to call this composite snapshot or the individual component tools. No exclusions, no prerequisites.

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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