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Search the issues visible to this token, with a JQL query — the same JQL the Jira REST surface takes, read by the same parser. A query naming a field this tracker does not have is REFUSED and named, never run: it would match everything and read as an answer. Without jql, the shorthand arguments filter instead. Most recently created first unless the query says ORDER BY. Archived issues are left out unless the query names archived, and archivedLeftOut says how many matches that hid — an empty list with it is not "there are none".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jqlNoA JQL query, e.g. `assignee = currentUser() AND statusCategory != Done ORDER BY updated DESC`. FIELDS: project, status, statuscategory, issuetype, type, priority, resolution, assignee, reporter, creator, key, issuekey, id, summary, description, sprint, parent, epic, labels, archived, agent, teamRole, fixVersion, fixVersions, text, created, updated, duedate. OPERATORS: = != ~ !~ > >= < <=, IN (...), NOT IN (...), IS EMPTY, IS NOT EMPTY, combined with AND / OR, with parentheses around a sub-expression — `project = PM AND (status = Blocked OR priority = Highest)` — plus an optional trailing ORDER BY <field> [DESC]. `~` means contains (substring) and is the one to use for free text — `text` searches summary, description and comments. `>` `>=` `<` `<=` are for created/updated/duedate only, with absolute YYYY-MM-DD values: there are NO relative-date functions, so compute the date yourself. The functions are currentUser(), for assignee/reporter/creator, myTeamRoles(), for teamRole, and releasedVersions() / unreleasedVersions(), for fixVersion. `archived` is this tracker's own field: archived issues are left out unless the query mentions it. `epic` is this tracker's own too, and it is the wide one: `epic = PM-12` matches that epic AND the work under it — its children and their sub-tasks — which is how one asks for an epic's whole board in a single clause. `parent` is the narrow one: direct children only, and never the epic itself. `agent` is this tracker's own as well: `agent = product` is an issue an agent of that role has right now — working on it or waiting on its question — and `agent IS NOT EMPTY` is any agent; the assignee of such an issue is still the person it works for. `teamRole` is this tracker's own too: the project's team role an issue is for, by name — `teamRole = "Звуковик"` — and `teamRole in myTeamRoles()` is every issue for a role the caller holds, which with `assignee != currentUser()` is the work of their role that fell to somebody else. `fixVersion` is the project version an issue goes out in, by name or id — `fixVersion = "2.4.0"`; an issue may be in several, so `=` means «is in». `fixVersion in unreleasedVersions()` is what is still to ship, `fixVersion in releasedVersions(PM)` what one project has shipped, `fixVersion IS EMPTY` work in no version. Quote values containing spaces. Seeded values — status: Backlog, "To Do", "In Progress", "In Review", Blocked, Done; statusCategory: "To Do", "In Progress", Done; priority: Highest, High, Medium, Low, Lowest; type: Epic, Story, Task, Bug, "Sub-task". A project's own columns (PM-170) can be searched too, by name — Segment = AI — or as customfield_20003 / cf[20003]; list_project_fields names them.
textNoShorthand for `key ~ … OR summary ~ …`. Narrows the query further when `jql` is given too.
limitNoMax issues to return (default 25, max 100).
statusNoShorthand for `status = …` (e.g. 'In Progress', 'Done'). Narrows the query further when `jql` is given too.
projectKeyNoShorthand for `project = …` (must be visible to the token). Narrows the query further when `jql` is given too.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / jql / description
      Previous value: -"A JQL query, e.g. `assignee = currentUser() AND statusCategory != Done ORDER BY updated DESC`. FIELDS: project, status, statuscategory, issuetype, type, priority, resolution, assignee, reporter, creator, key, issuekey, id, summary, description, sprint, parent, epic, labels, archived, agent, teamRole, text, created, updated, duedate. OPERATORS: = != ~ !~ > >= < <=, IN (...), NOT IN (...), IS EMPTY, IS NOT EMPTY, combined with AND / OR, with parentheses around a sub-expression — `project = PM AND (status = Blocked OR priority = Highest)` — plus an optional trailing ORDER BY <field> [DESC]. `~` means contains (substring) and is the one to use for free text — `text` searches summary, description and comments. `>` `>=` `<` `<=` are for created/updated/duedate only, with absolute YYYY-MM-DD values: there are NO relative-date functions, so compute the date yourself. The functions are currentUser(), for assignee/reporter/creator, and myTeamRoles(), for teamRole. `archived` is this tracker's own field: archived issues are left out unless the query mentions it. `epic` is this tracker's own too, and it is the wide one: `epic = PM-12` matches that epic AND the work under it — its children and their sub-tasks — which is how one asks for an epic's whole board in a single clause. `parent` is the narrow one: direct children only, and never the epic itself. `agent` is this tracker's own as well: `agent = product` is an issue an agent of that role has right now — working on it or waiting on its question — and `agent IS NOT EMPTY` is any agent; the assignee of such an issue is still the person it works for. `teamRole` is this tracker's own too: the project's team role an issue is for, by name — `teamRole = \"Звуковик\"` — and `teamRole in myTeamRoles()` is every issue for a role the caller holds, which with `assignee != currentUser()` is the work of their role that fell to somebody else. Quote values containing spaces. Seeded values — status: Backlog, \"To Do\", \"In Progress\", \"In Review\", Blocked, Done; statusCategory: \"To Do\", \"In Progress\", Done; priority: Highest, High, Medium, Low, Lowest; type: Epic, Story, Task, Bug, \"Sub-task\". A project's own columns (PM-170) can be searched too, by name — Segment = AI — or as customfield_20003 / cf[20003]; list_project_fields names them."New value: +"A JQL query, e.g. `assignee = currentUser() AND statusCategory != Done ORDER BY updated DESC`. FIELDS: project, status, statuscategory, issuetype, type, priority, resolution, assignee, reporter, creator, key, issuekey, id, summary, description, sprint, parent, epic, labels, archived, agent, teamRole, fixVersion, fixVersions, text, created, updated, duedate. OPERATORS: = != ~ !~ > >= < <=, IN (...), NOT IN (...), IS EMPTY, IS NOT EMPTY, combined with AND / OR, with parentheses around a sub-expression — `project = PM AND (status = Blocked OR priority = Highest)` — plus an optional trailing ORDER BY <field> [DESC]. `~` means contains (substring) and is the one to use for free text — `text` searches summary, description and comments. `>` `>=` `<` `<=` are for created/updated/duedate only, with absolute YYYY-MM-DD values: there are NO relative-date functions, so compute the date yourself. The functions are currentUser(), for assignee/reporter/creator, myTeamRoles(), for teamRole, and releasedVersions() / unreleasedVersions(), for fixVersion. `archived` is this tracker's own field: archived issues are left out unless the query mentions it. `epic` is this tracker's own too, and it is the wide one: `epic = PM-12` matches that epic AND the work under it — its children and their sub-tasks — which is how one asks for an epic's whole board in a single clause. `parent` is the narrow one: direct children only, and never the epic itself. `agent` is this tracker's own as well: `agent = product` is an issue an agent of that role has right now — working on it or waiting on its question — and `agent IS NOT EMPTY` is any agent; the assignee of such an issue is still the person it works for. `teamRole` is this tracker's own too: the project's team role an issue is for, by name — `teamRole = \"Звуковик\"` — and `teamRole in myTeamRoles()` is every issue for a role the caller holds, which with `assignee != currentUser()` is the work of their role that fell to somebody else. `fixVersion` is the project version an issue goes out in, by name or id — `fixVersion = \"2.4.0\"`; an issue may be in several, so `=` means «is in». `fixVersion in unreleasedVersions()` is what is still to ship, `fixVersion in releasedVersions(PM)` what one project has shipped, `fixVersion IS EMPTY` work in no version. Quote values containing spaces. Seeded values — status: Backlog, \"To Do\", \"In Progress\", \"In Review\", Blocked, Done; statusCategory: \"To Do\", \"In Progress\", Done; priority: Highest, High, Medium, Low, Lowest; type: Epic, Story, Task, Bug, \"Sub-task\". A project's own columns (PM-170) can be searched too, by name — Segment = AI — or as customfield_20003 / cf[20003]; list_project_fields names them."
  2. Changed1 schema field changed
    • changedInput schema / properties / jql / description
      Previous value: -"A JQL query, e.g. `assignee = currentUser() AND statusCategory != Done ORDER BY updated DESC`. FIELDS: project, status, statuscategory, issuetype, type, priority, resolution, assignee, reporter, creator, key, issuekey, id, summary, description, sprint, parent, epic, labels, archived, agent, text, created, updated, duedate. OPERATORS: = != ~ !~ > >= < <=, IN (...), NOT IN (...), IS EMPTY, IS NOT EMPTY, combined with AND / OR, with parentheses around a sub-expression — `project = PM AND (status = Blocked OR priority = Highest)` — plus an optional trailing ORDER BY <field> [DESC]. `~` means contains (substring) and is the one to use for free text — `text` searches summary, description and comments. `>` `>=` `<` `<=` are for created/updated/duedate only, with absolute YYYY-MM-DD values: there are NO relative-date functions, so compute the date yourself. The only function is currentUser(), for assignee/reporter/creator. `archived` is this tracker's own field: archived issues are left out unless the query mentions it. `epic` is this tracker's own too, and it is the wide one: `epic = PM-12` matches that epic AND the work under it — its children and their sub-tasks — which is how one asks for an epic's whole board in a single clause. `parent` is the narrow one: direct children only, and never the epic itself. `agent` is this tracker's own as well: `agent = product` is an issue an agent of that role has right now — working on it or waiting on its question — and `agent IS NOT EMPTY` is any agent; the assignee of such an issue is still the person it works for. Quote values containing spaces. Seeded values — status: Backlog, \"To Do\", \"In Progress\", \"In Review\", Blocked, Done; statusCategory: \"To Do\", \"In Progress\", Done; priority: Highest, High, Medium, Low, Lowest; type: Epic, Story, Task, Bug, \"Sub-task\". A project's own columns (PM-170) can be searched too, by name — Segment = AI — or as customfield_20003 / cf[20003]; list_project_fields names them."New value: +"A JQL query, e.g. `assignee = currentUser() AND statusCategory != Done ORDER BY updated DESC`. FIELDS: project, status, statuscategory, issuetype, type, priority, resolution, assignee, reporter, creator, key, issuekey, id, summary, description, sprint, parent, epic, labels, archived, agent, teamRole, text, created, updated, duedate. OPERATORS: = != ~ !~ > >= < <=, IN (...), NOT IN (...), IS EMPTY, IS NOT EMPTY, combined with AND / OR, with parentheses around a sub-expression — `project = PM AND (status = Blocked OR priority = Highest)` — plus an optional trailing ORDER BY <field> [DESC]. `~` means contains (substring) and is the one to use for free text — `text` searches summary, description and comments. `>` `>=` `<` `<=` are for created/updated/duedate only, with absolute YYYY-MM-DD values: there are NO relative-date functions, so compute the date yourself. The functions are currentUser(), for assignee/reporter/creator, and myTeamRoles(), for teamRole. `archived` is this tracker's own field: archived issues are left out unless the query mentions it. `epic` is this tracker's own too, and it is the wide one: `epic = PM-12` matches that epic AND the work under it — its children and their sub-tasks — which is how one asks for an epic's whole board in a single clause. `parent` is the narrow one: direct children only, and never the epic itself. `agent` is this tracker's own as well: `agent = product` is an issue an agent of that role has right now — working on it or waiting on its question — and `agent IS NOT EMPTY` is any agent; the assignee of such an issue is still the person it works for. `teamRole` is this tracker's own too: the project's team role an issue is for, by name — `teamRole = \"Звуковик\"` — and `teamRole in myTeamRoles()` is every issue for a role the caller holds, which with `assignee != currentUser()` is the work of their role that fell to somebody else. Quote values containing spaces. Seeded values — status: Backlog, \"To Do\", \"In Progress\", \"In Review\", Blocked, Done; statusCategory: \"To Do\", \"In Progress\", Done; priority: Highest, High, Medium, Low, Lowest; type: Epic, Story, Task, Bug, \"Sub-task\". A project's own columns (PM-170) can be searched too, by name — Segment = AI — or as customfield_20003 / cf[20003]; list_project_fields names them."
  3. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does so well: it discloses that unknown fields are REFUSED and named rather than silently matching everything, the default ordering (most recently created first unless ORDER BY), and that archived issues are excluded with `archivedLeftOut` counting the suppressed matches. It does not cover pagination beyond `limit` or rate/permission behavior, so not a 5.

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?

Short and front-loaded: query dialect and refusal semantics come first, then fallback filtering, then ordering and archived behavior. The sentences are dense with em-dashes but carry no filler; every clause adds a distinct constraint.

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?

For a complex JQL-backed search with no annotations and no output schema, the description covers query semantics, refusal behavior, default ordering, and a return-side field (archivedLeftOut). It stops short of describing the result shape or pagination/total counts, which an output-schema-less tool could reasonably mention.

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 100%, so the rich JQL grammar, functions, and field list already live in the schema. The description adds mostly the cross-parameter rule that shorthand args "filter instead" of or "further" narrow `jql`, which is largely mirrored in the schema text, so baseline 3 is correct.

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?

States a specific verb and resource ("Search the issues visible to this token, with a JQL query") and pins the exact query dialect ("the same JQL the Jira REST surface takes, read by the same parser"). An agent can distinguish this from get_issue (single fetch) and search_wiki/search_code without opening a schema.

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

Usage Guidelines4/5

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

Explicitly routes between argument modes: "Without `jql`, the shorthand arguments filter instead," and the schema notes shorthand narrows a jql query further. It gives clear context for how to invoke, but never names a sibling alternative or an explicit when-not-to-use case.

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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