MCP Tool Reference Medium Risk

mcp_ado_work_update_team_capacity

Update team member capacity for iteration

Part of the Azure DevOps MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

@azure-devops/mcp Write

WHEN AI AGENTS USE THIS TOOL

AI agents use mcp_ado_work_update_team_capacity to create or modify resources in Azure DevOps. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

WHY ENFORCE A POLICY ON MCP_ADO_WORK_UPDATE_TEAM_CAPACITY

Without a policy, an AI agent could call mcp_ado_work_update_team_capacity repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Azure DevOps.

RECOMMENDED POLICY

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

azure-devops.yaml 
tools:
  mcp_ado_work_update_team_capacity:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Azure DevOps policy for all 84 tools.

DETAILS

Tool Name

mcp_ado_work_update_team_capacity

Category

Write

MCP Server

Azure DevOps MCP Server

Risk Level

Medium

MORE AZURE DEVOPS TOOLS

mcp_ado_pipelines_create_pipeline Write
Create a new pipeline with YAML configuration
mcp_ado_pipelines_update_build_stage Write
Update a build stage (cancel, retry, or run)
mcp_ado_repo_create_branch Write
Create a new branch from a source branch
mcp_ado_repo_create_pull_request Write
Create a new pull request
mcp_ado_repo_update_pull_request Write
Update pull request properties and settings
mcp_ado_repo_update_pull_request_reviewers Write
Add or remove reviewers from a pull request
mcp_ado_repo_vote_pull_request Write
Cast a vote on a pull request
mcp_ado_repo_create_pull_request_thread Write
Create a new comment thread on a pull request

View all 84 tools →

SIMILAR WRITE TOOLS ON OTHER SERVERS

create_table Airtable
Create a new table with fields
update_table Airtable
Update a table's name or description
create_field Airtable
Add a new field to a table
update_field Airtable
Modify an existing field
create_record Airtable
Add a new record
update_record Airtable
Modify an existing record

RELATED READING

FREQUENTLY ASKED QUESTIONS

What does the mcp_ado_work_update_team_capacity tool do?

Update team member capacity for iteration. It is categorised as a Write tool in the Azure DevOps MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on mcp_ado_work_update_team_capacity?

Add a rule in your Intercept YAML policy under the tools section for mcp_ado_work_update_team_capacity. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Azure DevOps MCP server.

What risk level is mcp_ado_work_update_team_capacity?

mcp_ado_work_update_team_capacity is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit mcp_ado_work_update_team_capacity?

Yes. Add a rate_limit block to the mcp_ado_work_update_team_capacity rule in your Intercept policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block mcp_ado_work_update_team_capacity completely?

Set action: deny in the Intercept policy for mcp_ado_work_update_team_capacity. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides mcp_ado_work_update_team_capacity?

mcp_ado_work_update_team_capacity is provided by the Azure DevOps MCP server (@azure-devops/mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

ENFORCE POLICIES ON AZURE DEVOPS

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VIEW ON GITHUB Full Azure DevOps policy →