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Opendata Canada Package

opendata_canada_package
Read-onlyIdempotent

Dataset by id/slug.

Example tool call

This call uses example arguments supplied in the tool’s input schema.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "id": "5cf10ac5-f426-41b8-bf3a-43bd0721472f"
    },
    "name": "opendata_canada_package"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYes

Output Schema

NameRequiredDescriptionDefault
idNoPackage ID
urlNoPackage URL
nameNoPackage name/slug
tagsNoArray of tags
notesNoPackage description
titleNoPackage title
authorNoPackage author
groupsNoArray of group/theme objects
privateNoWhether package is private
versionNoPackage version
owner_orgNoOwner organization ID
resourcesNoArray of resources
license_idNoLicense ID
maintainerNoPackage maintainer
author_emailNoAuthor email
organizationNoOrganization object
maintainer_emailNoMaintainer email
metadata_createdNoCreation timestamp
metadata_modifiedNoModification timestamp

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.5/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so safety and idempotency are covered by structured data. The description adds nothing beyond that — no note on what happens with an unknown id/slug (error vs empty), no indication of remote-rate or network dependency implied by openWorldHint, and no sense of payload size.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Four words with no padding, so nothing is wasted, but it is under-specified rather than concise: there is no verb and no structure to front-load. It reads as a fragment rather than a front-loaded statement of purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple (one required param, an output schema exists, annotations are rich), which lowers the bar considerably, but the description still doesn't tell the agent what a successful response contains or how failures surface. For a public-API fetch whose identifier semantics are non-obvious, that is a real gap even at low complexity.

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 description coverage is 0% and the schema only says the single `id` is a string with a UUID example. The description does add one genuinely useful fact — that a slug is also accepted, not just a UUID — but gives no format examples, casing rules, or behavior for ambiguous inputs.

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?

"Dataset by id/slug" names the resource (a dataset) and the lookup key (id or slug), which does separate it from search/groups/organizations siblings. But it omits a verb and never says what is returned or what a "package" is relative to a "dataset", so the purpose stays only vaguely specified.

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?

There is no when-to-use guidance at all — no statement of when to call this versus opendata_canada_search or the groups/organizations tools. The only implicit cue is the word "id/slug", which requires the agent to infer that this is a direct lookup rather than discovery.

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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