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pi_hydrate

[PUBLIC READ] On-demand restoration of raw content from physical disk using a Universal Pi Pointer ([ref:path|line]). Call this when vault summary is insufficient for deep reasoning. Side effects: Reads physical file.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "pi_pointer": "<pi_pointer>"
    },
    "name": "pi_hydrate"
  }
}

Input Schema

NameRequiredDescriptionDefault
pi_pointerYesUniversal Pi Anchor coordinate pointer.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / pi_pointer / description
      Previous value: -"Universal Pi Anchor coordinate."New value: +"Universal Pi Anchor coordinate pointer."
  2. Added

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose the key behavioral trait — a read-only operation that touches physical disk — via the '[PUBLIC READ]' tag and explicit 'Side effects: Reads physical file' line. It says nothing about failure modes (missing file, malformed pointer), latency/cost of disk I/O, or caching, which matters for a disk-backed read.

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?

Three short sentences, front-loaded with the access-level tag, then purpose, then trigger, then side effect. No filler; every clause conveys something operational.

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?

For a single-parameter read tool with no output schema and no annotations, the definition covers purpose, escalation trigger, and side effects. The main omission is behavior on invalid pointers or missing files, which an agent would want before relying on it mid-reasoning.

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?

Schema coverage is 100% and the schema merely labels the parameter 'Universal Pi Anchor coordinate pointer.' The description adds real value by giving the literal pointer shape '[ref:path|line]', which the schema does not. It stops short of enumerating or explaining the ref/path/line components.

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?

States a specific verb and resource ('restoration of raw content from physical disk') plus the mechanism ('Universal Pi Pointer'). This is clearly distinct from the vault-oriented siblings that return summaries, though it never names vault_read or vault_query as the alternative it complements.

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?

Gives an explicit trigger condition: 'Call this when vault summary is insufficient for deep reasoning.' That tells the agent when to escalate from summary tools to raw content, but the sibling it escalates from is described generically as 'vault summary' rather than named.

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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