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imdeniil

ya-tracker-mcp

by imdeniil

create_entity

Create projects, portfolios, or goals in Yandex Tracker with configurable fields like dates, lead, tags, and access.

Instructions

Create a project, portfolio, or goal.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endNoEnd date (YYYY-MM-DD)
leadNoLead user login
tagsNoList of tags
startNoStart date (YYYY-MM-DD)
fieldsNoOptional list of fields to show in response.
summaryYesEntity name
followersNoList of follower logins
team_usersNoList of team member logins
descriptionNoDescription (YFM markdown)
entity_typeYes"project", "portfolio", or "goal"
team_accessNoRestrict access to team members only
entity_statusNoStatus (e.g. "in_progress", "draft", "at_risk")
output_formatNoResponse format: "text" (default, markdown) or "json"text
parent_entityNoParent entity ID (as string)
full_descriptionNoIf true, do not truncate description (default false)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It only states 'Create' and does not mention side effects, permission requirements, validation, or response behavior. For a mutation tool with 15 parameters, this is a significant gap.

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 sentence with no filler. It front-loads the core purpose and is easy to scan.

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

Completeness3/5

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

Given that an output schema exists and all parameters are fully documented in the schema, the description is minimally viable by naming the three entity types. However, with 15 optional parameters and no annotations, more high-level context about the entity creation workflow would improve completeness.

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 baseline is 3. The description adds no parameter details beyond what the schema already provides; the entity type values are already documented in the entity_type property.

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 uses a specific verb 'Create' and clearly enumerates the resource scope: 'project, portfolio, or goal.' This distinguishes the tool from sibling creation tools like create_issue, create_queue, or create_sprint.

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 when to use the tool—when creating a project, portfolio, or goal—but does not explicitly mention alternatives, exclusions, or prerequisites. It relies on the reader to infer that other entity types should be handled by other create_* tools.

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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