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Yandex Tracker MCP

Count Issues

issues_count
Read-only

Count Yandex Tracker issues that match a specified query.

Instructions

Get the count of Yandex Tracker issues matching a query

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

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

The description clarifies that the tool returns a count (not a list), adding value beyond the readOnlyHint annotation. It does not mention any destructive behavior, which is consistent with the safe read operation.

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

Conciseness5/5

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

The main description is concise (one sentence) and front-loaded. The lengthy parameter documentation is appropriate and not part of the main description, so conciseness is preserved.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (single parameter, read-only count operation) and the existence of an output schema, the description and parameter documentation provide complete guidance. No gaps in understanding are left.

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

Parameters5/5

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

The parameter 'query' has extensive documentation including syntax, functions, and examples, far beyond the schema's basic description. Schema coverage is 100% and the description is exceptionally helpful for constructing queries.

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?

The description clearly states the tool returns a count of issues matching a query, which is a specific verb+resource. It effectively distinguishes from siblings like issues_find that return full issue data.

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

Usage Guidelines3/5

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

The description implies usage for counting rather than listing, but does not explicitly contrast with alternatives like issues_find. No explicit when-not-to-use guidance is provided.

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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