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gluecron_create_issue

Create a new issue on a Gluecron repository. Requires authenticated caller with write access on the target repo. Returns {number, url}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoIssue body (Markdown). Optional.
repoYesRepo name
ownerYesRepo owner — username or organisation slug
titleYesIssue title

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / owner / description
      Previous value: -"Repo owner username"New value: +"Repo owner — username or organisation slug"
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

The description adds useful behavioral detail beyond the annotations by disclosing the authentication and authorization requirement and specifying the return shape as '{number, url}'. Since the annotations already indicate readOnlyHint=false and destructiveHint=false, the description's added context is meaningful, though it does not address side effects or idempotency.

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?

The description is three short sentences and each one earns its place: the action, the access requirement, and the return value. There is no filler, repetition, or unnecessary detail.

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?

Given that there is no output schema, describing the return as {number, url} is valuable. The description also covers the key behavioral requirement (write access) and leaves parameter semantics to the complete schema. It could go slightly further by addressing potential error cases or alternative tool routes, but it is sufficiently complete for a simple creation tool.

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 100%, so the parameters owner, repo, title, and body are all already described in the input schema. The description does not need to add parameter-level detail; it also does not go beyond the schema, so the baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Create a new issue') on a specific resource ('a Gluecron repository'), making the tool's purpose unambiguous. It also distinguishes itself from related siblings like gluecron_create_pr, gluecron_close_issue, and gluecron_assign_issue by making clear it is specifically for creating a new issue.

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?

The description implies the primary use case — creating a new issue — and gives a useful access prerequisite by requiring an authenticated caller with write access. However, it does not explicitly say when to prefer this tool over alternatives or when to avoid it, such as distinguishing it from creating a pull request or commenting on an existing issue.

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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