Skip to main content
Glama

github_issues_delete_issue_field_value

Delete a specific field value from a GitHub issue by providing the repository, issue number, and field ID.

Instructions

Delete an issue field value from an issue

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repository_idYesrepository_id
issue_numberYesissue_number
issue_field_idYesissue_field_id
Behavior2/5

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

No annotations are present, so the description carries full burden. It only states 'delete', which implies mutation/destruction, but omits critical details: what happens if the field doesn't exist, whether deletion is permanent, permission requirements, or response format. The minimal description fails to disclose behavioral traits beyond the obvious.

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 extremely concise—one sentence of 7 words. It is front-loaded and easy to parse. However, given the lack of behavioral and parameter details, the conciseness comes at the cost of completeness.

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 has no output schema, no annotations, and a sparse description. Important context about error handling, success indicators, idempotency, and relationship to sibling tools is missing. The agent cannot fully understand the tool's behavior from this data.

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?

The input schema has 100% coverage, but the schema descriptions are tautological (parameter names only). The tool description adds no additional meaning; it does not explain what repository_id, issue_number, or issue_field_id represent or how they relate. The agent is left to infer from parameter names, which may be ambiguous.

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 description clearly states the action 'Delete', the resource 'issue field value', and the context 'from an issue'. It uses a specific verb and resource, making the purpose unambiguous. However, it does not distinguish this tool from siblings like set_issue_field_values or add_issue_field_values, which have similar scope.

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 guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, whether the field value must exist, or scenarios where delete is preferred over set/add. The agent receives no decision support.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Eyalm321/github-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server