portkey-admin-mcp

get_rescued_requests_analytics

Read-onlyIdempotent

Measure how often retry or fallback logic rescued failed requests by retrieving time-series analytics for recovered requests. Filter by time range, configs, models, status codes, and more.

Instructions

Get rescued-request time-series data showing requests recovered by retry or fallback handling. Use this only when your configs include resilience features, and use it to measure how often recovery logic saved requests. Enterprise-gated. Returns 403 on non-Enterprise Portkey plans.

Input Schema

TableJSON Schema

Name	Required	Description
`configs`	No	Legacy Portkey query param for config slugs. Comma-separated string; prefer config_slugs for structured inputs.
`span_id`	No	Legacy Portkey query param for span IDs. Comma-separated string; prefer span_ids for structured inputs.
`cost_max`	No	Maximum cost in cents to filter by
`cost_min`	No	Minimum cost in cents to filter by
`metadata`	No	Legacy Portkey query param for metadata filtering. Stringified JSON object, e.g. '{"env":"prod","app":"myapp"}'; prefer metadata_filter for structured inputs.
`span_ids`	No	Structured alias for span_id. Use an array of span IDs; normalized to the legacy comma-separated Portkey query param.
`trace_id`	No	Legacy Portkey query param for trace IDs. Comma-separated string; prefer trace_ids for structured inputs.
`trace_ids`	No	Structured alias for trace_id. Use an array of trace IDs; normalized to the legacy comma-separated Portkey query param.
`api_key_ids`	No	Legacy Portkey query param for API key UUIDs. Comma-separated string; request_analytics also accepts an array and normalizes it to this form.
`prompt_slug`	No	Filter by prompt slug
`status_code`	No	Legacy Portkey query param for HTTP status codes. Comma-separated string; prefer status_codes for structured inputs.
`ai_org_model`	No	Legacy Portkey query param for provider/model pairs. Format: 'provider__model' with double underscore, e.g. 'openai__gpt-4' or 'anthropic__claude-3-opus'. Comma-separated string; prefer provider_models for structured inputs.
`config_slugs`	No	Structured alias for configs. Use an array of config slugs; normalized to the legacy comma-separated Portkey query param.
`status_codes`	No	Structured alias for status_code. Use an array of HTTP status codes; normalized to the legacy comma-separated Portkey query param.
`virtual_keys`	No	Legacy Portkey query param for virtual key slugs. Comma-separated string; prefer virtual_key_slugs for structured inputs.
`workspace_slug`	No	Filter by specific workspace
`metadata_filter`	No	Structured alias for metadata. Use an object such as { env: 'prod' }; normalized to a JSON string before the request is sent.
`provider_models`	No	Structured alias for ai_org_model. Use provider__model strings in an array; normalized to the legacy comma-separated Portkey query param.
`total_units_max`	No	Maximum number of total tokens to filter by
`total_units_min`	No	Minimum number of total tokens to filter by
`prompt_token_max`	No	Maximum number of prompt tokens
`prompt_token_min`	No	Minimum number of prompt tokens
`virtual_key_slugs`	No	Structured alias for virtual_keys. Use an array of virtual key slugs; normalized to the legacy comma-separated Portkey query param.
`completion_token_max`	No	Maximum number of completion tokens
`completion_token_min`	No	Minimum number of completion tokens
`weighted_feedback_max`	No	Maximum weighted feedback score (-10 to 10)
`weighted_feedback_min`	No	Minimum weighted feedback score (-10 to 10)
`time_of_generation_max`	Yes	End time for the analytics period (ISO8601 format, e.g., '2024-02-01T00:00:00Z')
`time_of_generation_min`	Yes	Start time for the analytics period (ISO8601 format, e.g., '2024-01-01T00:00:00Z')

Output Schema

TableJSON Schema

Name	Required	Description
`ok`	Yes	Whether the tool call succeeded and returned structured data
`data`	No	Structured success payload when ok is true
`error`	No	Structured error payload when ok is false

Schema Changelog

Changes observed during successful MCP inspections.

Changed16 schema fields changedv0.11.5Sep 8, 2026
- removedInput schema / properties / completion_token_max / exclusiveMinimum
```
Removed value: -0
```
- addedInput schema / properties / completion_token_max / minimum
```
Added value: +0
```
- removedInput schema / properties / completion_token_min / exclusiveMinimum
```
Removed value: -0
```
- addedInput schema / properties / completion_token_min / minimum
```
Added value: +0
```
- removedInput schema / properties / cost_max / exclusiveMinimum
```
Removed value: -0
```
- addedInput schema / properties / cost_max / minimum
```
Added value: +0
```
- removedInput schema / properties / cost_min / exclusiveMinimum
```
Removed value: -0
```
- addedInput schema / properties / cost_min / minimum
```
Added value: +0
```
- removedInput schema / properties / prompt_token_max / exclusiveMinimum
```
Removed value: -0
```
- addedInput schema / properties / prompt_token_max / minimum
```
Added value: +0
```
- removedInput schema / properties / prompt_token_min / exclusiveMinimum
```
Removed value: -0
```
- addedInput schema / properties / prompt_token_min / minimum
```
Added value: +0
```
- removedInput schema / properties / total_units_max / exclusiveMinimum
```
Removed value: -0
```
- addedInput schema / properties / total_units_max / minimum
```
Added value: +0
```
- removedInput schema / properties / total_units_min / exclusiveMinimum
```
Removed value: -0
```
- addedInput schema / properties / total_units_min / minimum
```
Added value: +0
```

Changed1 schema field changedv1.0.2Jul 4, 2026

changedInput schema / required

Previous value: -[
-  "time_of_generation_min",
-  "time_of_generation_max",
-  "api_key_ids"
-]New value: +[
+  "time_of_generation_min",
+  "time_of_generation_max"
+]

Addedv1.0.1May 7, 2026

TDQS

A4.2/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile needs no repetition. The description adds genuinely new behavioral context beyond annotations: the Enterprise plan gating and the 403 error on non-Enterprise Portkey plans, which informs the agent about entitlement-related failure modes before calling.

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?

Three sentences, zero filler: what it does, when to use it, and the enterprise gating caveat. The core purpose is front-loaded in the first sentence, and each subsequent sentence adds a distinct piece of decision-relevant information.

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 the output schema exists (return format need not be described), annotations cover the safety profile, and the 29-parameter schema is fully self-documenting, the description covers the remaining essentials: purpose, usage condition, and entitlement caveat. The only minor gap is not naming which sibling analytics tool to use when configs lack resilience features.

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 of 3 applies. The description itself adds no parameter-level guidance, but it doesn't need to — the schema exhaustively documents legacy vs structured aliases, normalization behavior, formats (ISO8601), and range constraints for all 29 parameters.

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 opens with a specific verb+resource ('Get rescued-request time-series data') and defines the niche concept inline ('requests recovered by retry or fallback handling'). This clearly separates it from the ~20 analytics siblings (get_request_analytics, get_error_analytics, get_cache_hit_rate) by scoping to recovery logic specifically.

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

Usage Guidelines4/5

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

'Use this only when your configs include resilience features' is an explicit conditional that tells the agent when the tool applies, and 'measure how often recovery logic saved requests' states the intended evaluation purpose. It stops short of naming a specific alternative for the non-resilience case, but the condition is clear enough to route selection.

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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