Skip to main content
Glama

update_log_export

Update an existing log export configuration by modifying workspace, time filter, or requested fields. Review current job with get_log_export before updating.

Instructions

Update an existing log export configuration before or between export runs. Only workspace_id, time_of_generation_max, and requested_fields can change after creation, so use get_log_export to review the current job and start_log_export after the definition is ready.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
export_idYesThe unique ID of the log export to update
workspace_idNoWorkspace ID for the export
time_of_generation_maxNoMaximum time filter in date format (e.g., '2024-07-25' or ISO 8601)
requested_fieldsNoFields to include in export: id, trace_id, created_at, request, response, is_success, ai_org, ai_model, req_units, res_units, total_units, request_url, cost, cost_currency, response_time, response_status_code, mode, config, prompt_slug, metadata

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the tool call succeeded and returned structured data
dataNoStructured success payload when ok is true
errorNoStructured error payload when ok is false
Behavior4/5

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

Annotations already indicate mutation (readOnlyHint false). The description adds value by specifying which fields are mutable and that it's a configuration update. Could mention impact on running exports, but 'before or between runs' implies not during.

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?

Two sentences, front-loaded with purpose, then key constraints and hints. Every sentence adds value, no waste.

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

Completeness4/5

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

Given high schema coverage, output schema exists, and clear description linking to related tools, it is largely complete. Minor omission: no error conditions or required permissions, but overall adequate.

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

Parameters4/5

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

Schema has 100% coverage with descriptions. The description adds semantic value by stating only workspace_id, time_of_generation_max, and requested_fields can change, which is not explicit in schema.

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 updates an existing log export configuration, specifies it is for before or between runs, and lists mutable fields. It distinguishes from siblings like create_log_export and start_log_export.

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

Usage Guidelines5/5

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

Explicitly provides when to use (before or between export runs), which fields can be changed, and suggests complementary tools (get_log_export to review, start_log_export after). No ambiguity.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/s-b-e-n-s-o-n/portkey-admin-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server