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Yandex Tracker MCP

Find Issues

issues_find
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Search Yandex Tracker issues using flexible queries on queue, date, assignee, status, and more. Retrieve results with controlled pagination and field selection.

Instructions

Find Yandex Tracker issues by queue and/or created date

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query to filter issues using Yandex Tracker Query. # General instructions 1. To search by a specific field use the following syntax: `Description: "some issue description"` 2. Multiple fields should be separated by space: `Description: "some issue description" Created: today()` 3. If you need to specify multiple values for the same field - provide them using comma (,), e.g.: `author: "vpupkin","iivanov"` 4. You may specify multiple conditions and combine them using `AND` and `OR` statements, e.g. `<param_1>: "<value_1>" AND <param_2>: "<value_2>"` 5. You may use brackets for complex logical expressions 6. To find issues with exact string matching in the field use this syntax: `Summary: #"Version 2.0"`. If you need to pass special characters - you must escape them using `\` symbol 7. To find issues that don't contain the specified text use this syntax: `Summary: !"Version 2.0"`. If you need to pass special characters - you must escape them using `\` symbol 8. If you need to search by local queue field use the following syntax: `<QUEUE>.<LOCAL_FIELD_KEY>: "<value>", where <QUEUE> is a queue key, <LOCAL_FIELD_KEY> is a local field's key from the `queue_get_local_fields` tool result. 9. For dates use the format YYYY-MM-DD. 10. For numerical values you may use comparison operators (>, <, >=, <=): `<param>: ><value>`. 11. To sort the result specify the `Sort By` directive (you may provide ASC or DESC for the sort order): `"Sort By": Created ASC`. 12. For Assignee field and any other field representing a user (such as Author and others) always use username and not name. # Functions These functions may be used, for example: `Created: week()` - return issues created on the current week" * `empty()` - empty value * `notEmpty()` - not empty value * `now()` - current time * `today()` - current date * `week()` - current week * `month()` - current month * `quarter()` - current quarter * `year()` - current year * `unresolved()` - there is no resolution * `me()` - currently logged in user # Examples Find issues in a specific queue: `"Queue": "PROJ"` Find issues by an assignee: `"Assignee": "i.ivanov"` Find not resolved (open, in progress) issues: `"Resolution": unresolved()` Find issues in specific status: `"Status": "Открыт", "В работе"` Find issues created in a specific range: `"Created": "2017-01-01".."2017-01-30"` Find issues created by currently logged in user: `"Author": me()"` Find issues assigned to currently logged in user: `"Assignee": me()"` Find issues created no earlier than 1 week and 1 day before today: `Created: > today() - "1w 1d"` Complete instructions page is available here: https://yandex.ru/support/tracker/ru/user/query-filter
include_descriptionNoWhether to include issue description in the issues result. It can be large, so use only when needed.
fieldsNoFields to include in the response. In order to not pollute context window - select appropriate fields beforehand. Not specifying fields will return all available.
pageNoPage number to return, default is 1
per_pageNoThe number of items per page. May be decreased if results exceed context window. If there is a change in per_page argument - retrieval must be started over with page = 1, as the paging could have changed.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

The description does not disclose behavioral traits beyond the annotation readOnlyHint:true, which is already present. It adds no context about pagination, performance, or the nature of the query language. The description is too brief to provide meaningful behavioral insight.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with one sentence, but it sacrifices clarity and completeness for brevity. The structure is fine but could be more informative without being verbose.

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?

Despite having 5 parameters and a complex query language, the description is severely incomplete. It does not mention pagination, the include_description parameter, fields selection, or the query language capabilities. With many sibling tools, this description fails to help an agent select the correct 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%, with detailed parameter descriptions in the schema. The tool description does not add meaning beyond the schema; in fact, it understates the query parameter by saying 'by queue and/or created date' when the schema shows a rich query language. Baseline 3 is appropriate because the schema does the heavy lifting.

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

Purpose3/5

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

The description states 'Find Yandex Tracker issues by queue and/or created date', which gives a specific verb and resource but is incomplete. The tool actually supports complex queries using a query language for many fields, not just queue and created date. It does not clearly distinguish from sibling tools like 'issue_get' or 'issues_count', which have different purposes.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention that this tool is for searching multiple issues, as opposed to 'issue_get' for a single issue or 'issues_count' for counting. No exclusions or when-not-to-use context is given.

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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