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OPSIN

opsin_read_prompt

Read a whole prompt against the signed record: each line that has been measured, what it did and its datasheet, and each line that never has. Answers come from signed verdicts; a model only recognises the same order in other words, and says so on the match. Nothing pasted is stored.

Input Schema

NameRequiredDescriptionDefault
agentYesYour agent's name
promptYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

No annotations are provided, so the description carries the behavioral burden. It usefully discloses that answers come from signed verdicts, that model matching only recognizes paraphrased order and flags that match, and that pasted content is not stored, though permissions, error behavior, and rate limits are not stated.

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?

The description is three tightly packed sentences, with the main operation and output categories front-loaded before the provenance and privacy caveats. The phrasing around 'same order in other words' is somewhat opaque, but there is little wasted text.

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 two-parameter read tool, it covers the output categories and a key non-storage guarantee, but it omits explicit usage guidance and leaves terminology such as 'signed record' and 'datasheet' unexplained. With no annotations and no output schema, more operational context would be needed for full completeness.

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 50%: the agent parameter is documented in the schema, while the prompt parameter is not. The description adds that prompt is a whole pasted multi-line text and that pasted content is not stored, but it does not clarify prompt formatting, size limits, or agent identifier expectations.

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 definition names a specific operation: reading a whole prompt against the signed record, with measured lines, their actions/datasheets, and never-measured lines returned. It is clear enough to distinguish the core operation, but it does not explicitly differentiate itself from siblings such as opsin_ask or opsin_verdict.

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?

The description says what the tool does but gives no when-to-use conditions, prerequisites, or explicit alternatives. An agent must infer whether to call this instead of opsin_ask, opsin_verdict, or another sibling.

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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