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List issues

mantis_list_issues
Read-onlyIdempotent

List and filter MantisBT issues with lightweight summaries, supporting server-side project and filter selection, plus client-side filtering by status, assignee, reporter, and date ranges.

Instructions

List issues (newest id first). Returns a LIGHTWEIGHT summary per issue by default (id, summary, status, handler, reporter, priority, dates…) — call mantis_get_issue for notes/attachments/history. Filter server-side by project_id / stored filter_id. The status, assigned_to, reporter_id and date filters are applied client-side (the REST API lacks them); when active, multiple pages are scanned (up to 500 issues). Use status="open" for all not-yet-resolved issues. Omit project_id to span all projects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-based page number (default 1).
selectNoComma-separated fields to include. Defaults to a lightweight summary set. Fields needed by the active filters are always fetched even if omitted here.
statusNoStatus name (localized or canonical) or "open" for all not-yet-resolved issues (client-side).
filter_idNoStored Mantis filter id (see mantis_list_filters).
page_sizeNoIssues per page (default 50).
project_idNo
assigned_toNoHandler/assignee user id (client-side filter).
reporter_idNoReporter user id (client-side filter).
created_afterNoISO-8601 timestamp — only issues created strictly after this.
updated_afterNoISO-8601 timestamp — only issues updated strictly after this. Example: "2026-03-25T00:00:00Z"
created_beforeNoISO-8601 timestamp — only issues created strictly before this.
updated_beforeNoISO-8601 timestamp — only issues updated strictly before this.
Behavior5/5

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

Beyond annotations (readOnly, idempotent, non-destructive), description reveals client-side scanning up to 500 issues, default fields, and automatic inclusion of filter-required fields. Adds significant transparency.

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 paragraph of ~5 sentences covers all key points without being verbose. Could benefit from slight structural improvements (e.g., separating filter types), but is efficient and front-loaded.

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 12 parameters, high schema coverage, and no output schema, description covers usage patterns, limitations, and alternatives. Could mention pagination behavior explicitly, but overall provides sufficient context for correct use.

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

Parameters4/5

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

Schema coverage is 92%, so baseline is 3. Description adds context: status='open' resolves to not-yet-resolved, client-side filters trigger multi-page scans, select defaults described. Enriches understanding beyond schema.

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?

Description specifies action (list issues), order (newest id first), and lightweight summary by default. Clearly distinguishes from mantis_get_issue for full details, making it easy for an AI agent to select correctly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit guidance on when to use this tool vs mantis_get_issue, and mentions client-side vs server-side filtering limitations. Also advises using status='open' for unresolved issues and omitting project_id to span all projects.

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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