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get_project_work_package_context

Retrieve project metadata and the writable work-package schema for a selected type to see which fields are editable before creating or updating work packages.

Instructions

Return project metadata and, optionally, the writable work-package schema for a given type.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNo
projectYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsYes
project_idYes
project_nameYes
custom_fieldsYes
available_typesYes
selected_type_idYes
available_statusesYes
available_versionsYes
project_identifierYes
selected_type_nameYes
available_categoriesYes
available_prioritiesYes
available_project_phasesYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed3 schema fields changedv0.3.7
    • addedInput schema / additionalProperties
      Added value: +false
    • removedOutput schema / $defs / VersionSummary / properties / url
      Removed value: -{
      -  "title": "Url",
      -  "type": "string"
      -}
    • changedOutput schema / $defs / VersionSummary / required
      Previous value: -[
      -  "id",
      -  "name",
      -  "status",
      -  "sharing",
      -  "start_date",
      -  "end_date",
      -  "defining_project",
      -  "description",
      -  "url"
      -]New value: +[
      +  "id",
      +  "name",
      +  "status",
      +  "sharing",
      +  "start_date",
      +  "end_date",
      +  "defining_project",
      +  "description"
      +]
  2. Addedv0.3.3
  3. Removedv0.3.0
  4. First observedv0.2.2

TDQS

C2.8/5.0
Behavior2/5

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

With no annotations provided, the description bears the burden of behavioral disclosure, yet goes only slightly beyond the tool name — stating it returns 'project metadata' and can 'optionally' return the 'writable work-package schema.' It fails to clarify what the 'writable' semantics are (e.g., side effects, auth requirements, when the type parameter is required). Not a contradiction, but minimally transparent.

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?

Single, front-loaded sentence with no filler words; reads efficiently and communicates the primary resource in the first few words. Loses one point because the information density could be higher given how little of the tool's purpose is covered.

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?

The tool has low complexity (2 params, no enums, nested objects absent) and an output schema, which lightens the descriptive load. However, the word 'optionally' is ambiguous — the description doesn't clarify when the schema should or shouldn't be requested — and the agent is left without enough to confidently reuse this tool in different scenarios.

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?

Schema coverage is 0%, so the description should compensate by documenting the parameters. The phrase 'for a given type' loosely mirrors the `type` parameter, but neither parameter ('project' nor 'type') is meaningfully explained — the agent can't tell what format/value the 'type' parameter accepts or when it should be omitted.

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?

Uses a clear verb+resource structure ('Return project metadata and, optionally, the writable work-package schema'), accurately describing what the tool does. However, it doesn't distinguish itself from similarly-named siblings like get_project_admin_context or get_project_configuration, so the agent can't readily see what makes this 'context' tool different.

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?

No when-to-use or alternative tooling is mentioned. Given the close sibling names (get_project_configuration, get_project_admin_context, get_project, get_type, list_work_packages), the description misses a critical opportunity to explain when this tool is preferred over its neighbors.

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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