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concordance

by com.narrowhighway
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study_export

[KEEP · internal] Export a study as a self-contained, portable bundle. Returns the bundle and its content_hash; to bind your identity to it, sign that hash with your own key on your own machine — this tool does not take a private key.

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": {
      "key": "<key>"
    },
    "name": "study_export"
  }
}

Input Schema

NameRequiredDescriptionDefault
keyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / additionalProperties
      Added value: +false
    • addedInput schema / properties / key / maxLength
      Added value: +4000
  2. Changed1 schema field changed
    • removedInput schema / properties / private_key
      Removed value: -{
-  "type": "string"
-}
  3. First observed

TDQS

B3.4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose key behavioral facts: it returns a bundle plus content_hash and deliberately does not accept a private key (the identity-binding happens client-side). It omits permissions required, whether the operation is read-only, and any side effects, but the security model disclosure is genuinely valuable.

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?

Front-loads the purpose and then adds the essential signing note in a compact second clause. The '[KEEP · internal]' prefix is terse and slightly cryptic but costs little; overall well-sized with no 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 one-parameter export tool with no output schema and no annotations, the description covers the return payload and the signing model. It still leaves the meaning of 'key' and any permission/environment prerequisites unexplained, so it is adequate but not complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is one required parameter, 'key', with 0% schema description coverage, and the description never explains what it is (study identifier? signing key? access key?). The description mentions a hash and signing but does not clarify the 'key' input, so it fails to compensate for the schema gap.

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 (export) and resource (a study) and describes the output form (a self-contained, portable bundle). The reverse sibling study_import exists but is not named, so differentiation is implied rather than explicit.

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?

It explains the post-export signing workflow and clarifies that the tool will NOT take a private key, which implicitly guides the user. However, it gives no explicit when-to-use versus siblings like study_find or study_import, leaving usage context to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All concordance toolsInspect
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