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APonkratov

Yandex Tracker MCP Server

by APonkratov

Bulk Update Entities

entities_bulk_update

Bulk update multiple Yandex Tracker projects, portfolios, or goals at once by applying fields, links, and comments to selected entity IDs.

Instructions

Start a bulk update for Yandex Tracker projects, portfolios, or goals.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
linksNoLinks to apply to every selected entity
fieldsNoField-value pairs to apply to every selected entity
commentNoOptional comment to add to every selected entity
entity_idsYesIds of entities to update
entity_typeYesEntity type: project, portfolio, or goal

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
selfYes
statusYes
created_atNo
created_byNo
status_textNo
execution_chunk_percentNo
execution_issue_percentNo
Behavior2/5

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

Annotations only indicate readOnlyHint=false, so the description carries the burden of behavioral disclosure. It mentions 'Start a bulk update' but does not clarify whether this is asynchronous, what the response contains, whether changes are reversible, or any side effects. This is a significant gap for a mutation tool.

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 description is a single concise sentence that front-loads the core purpose. There is no fluff or redundant information; every word contributes to understanding what the tool does.

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 an output schema and fully covered parameters, the tool is a complex bulk operation with 5 parameters. The description fails to mention asynchronous behavior, return format, or how it relates to single-entity updates. This is insufficient context for an agent to confidently select and invoke the 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 description coverage is 100%, so the schema fully documents each parameter. The description adds minimal value beyond reiterating entity types, but it does reinforce that the update applies to multiple entities. Baseline 3 is appropriate because the schema handles parameter semantics.

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 states a specific action ('Start a bulk update') with a defined resource ('Yandex Tracker projects, portfolios, or goals'). It clearly conveys the tool's purpose and distinguishes it from single-entity operations like entity_update, though it does not explicitly reference sibling tools.

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 phrase 'bulk update' implies usage when updating multiple entities at once, and the listed entity types give context. However, there is no explicit guidance on when to prefer this over entity_update or entity_create, nor any mention of limitations or alternatives.

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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