Analyze a stored CPU record collection to identify performance bottlenecks and generate evidence-driven insights.
Analyze a stored CPU record collection artifact.
| Name | Required | Description | Default |
|---|---|---|---|
| collection_id | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| uri | Yes | ||
| summary | Yes | ||
| artifact_id | Yes | ||
| artifact_type | Yes | ||
| schema_version | No | 1.0 | |
| evidence_quality | No |
Changes observed during successful MCP inspections.
v0.3.2Output schema / $defs / EvidenceQuality / properties / kernel_context_self_percentAdded value: +{
+ "anyOf": [
+ {
+ "maximum": 100,
+ "minimum": 0,
+ "type": "number"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null,
+ "title": "Kernel Context Self Percent"
+}Output schema / $defs / EvidenceQuality / properties / kernel_context_self_weightAdded value: +{
+ "anyOf": [
+ {
+ "minimum": 0,
+ "type": "integer"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null,
+ "title": "Kernel Context Self Weight"
+}Output schema / $defs / EvidenceQuality / properties / unknown_context_self_percentAdded value: +{
+ "anyOf": [
+ {
+ "maximum": 100,
+ "minimum": 0,
+ "type": "number"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null,
+ "title": "Unknown Context Self Percent"
+}Output schema / $defs / EvidenceQuality / properties / unknown_context_self_weightAdded value: +{
+ "anyOf": [
+ {
+ "minimum": 0,
+ "type": "integer"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null,
+ "title": "Unknown Context Self Weight"
+}Output schema / $defs / EvidenceQuality / properties / unresolved_kernel_self_percentAdded value: +{
+ "anyOf": [
+ {
+ "maximum": 100,
+ "minimum": 0,
+ "type": "number"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null,
+ "title": "Unresolved Kernel Self Percent"
+}Output schema / $defs / EvidenceQuality / properties / unresolved_kernel_self_weightAdded value: +{
+ "anyOf": [
+ {
+ "minimum": 0,
+ "type": "integer"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null,
+ "title": "Unresolved Kernel Self Weight"
+}Output schema / $defs / EvidenceQuality / properties / unresolved_unknown_context_self_percentAdded value: +{
+ "anyOf": [
+ {
+ "maximum": 100,
+ "minimum": 0,
+ "type": "number"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null,
+ "title": "Unresolved Unknown Context Self Percent"
+}Output schema / $defs / EvidenceQuality / properties / unresolved_unknown_context_self_weightAdded value: +{
+ "anyOf": [
+ {
+ "minimum": 0,
+ "type": "integer"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null,
+ "title": "Unresolved Unknown Context Self Weight"
+}Output schema / $defs / EvidenceQuality / properties / unresolved_user_self_percentAdded value: +{
+ "anyOf": [
+ {
+ "maximum": 100,
+ "minimum": 0,
+ "type": "number"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null,
+ "title": "Unresolved User Self Percent"
+}Output schema / $defs / EvidenceQuality / properties / unresolved_user_self_weightAdded value: +{
+ "anyOf": [
+ {
+ "minimum": 0,
+ "type": "integer"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null,
+ "title": "Unresolved User Self Weight"
+}Output schema / $defs / EvidenceQuality / properties / user_context_self_percentAdded value: +{
+ "anyOf": [
+ {
+ "maximum": 100,
+ "minimum": 0,
+ "type": "number"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null,
+ "title": "User Context Self Percent"
+}Output schema / $defs / EvidenceQuality / properties / user_context_self_weightAdded value: +{
+ "anyOf": [
+ {
+ "minimum": 0,
+ "type": "integer"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null,
+ "title": "User Context Self Weight"
+}v0.3.0Output schema / $defsAdded value: +{
+ "EvidenceQuality": {
+ "additionalProperties": false,
+ "properties": {
+ "actual_event_source": {
+ "default": "unknown",
+ "enum": [
+ "hardware",
+ "software",
+ "unknown"
+ ],
+ "title": "Actual Event Source",
+ "type": "string"
+ },
+ "address_annotation_line_count": {
+ "minimum": 0,
+ "title": "Address Annotation Line Count",
+ "type": "integer"
+ },
+ "aggregated_frame_occurrence_count": {
+ "minimum": 0,
+ "title": "Aggregated Frame Occurrence Count",
+ "type": "integer"
+ },
+ "allowed_conclusions": {
+ "default": [],
+ "items": {
+ "type": "string"
+ },
+ "title": "Allowed Conclusions",
+ "type": "array"
+ },
+ "call_graph_weight": {
+ "minimum": 0,
+ "title": "Call Graph Weight",
+ "type": "integer"
+ },
+ "call_graph_weight_percent": {
+ "maximum": 100,
+ "minimum": 0,
+ "title": "Call Graph Weight Percent",
+ "type": "number"
+ },
+ "collection_limitations": {
+ "default": [],
+ "items": {
+ "type": "string"
+ },
+ "title": "Collection Limitations",
+ "type": "array"
+ },
+ "duplicate_frame_line_count": {
+ "minimum": 0,
+ "title": "Duplicate Frame Line Count",
+ "type": "integer"
+ },
+ "event": {
+ "title": "Event",
+ "type": "string"
+ },
+ "exported_call_path_count": {
+ "minimum": 0,
+ "title": "Exported Call Path Count",
+ "type": "integer"
+ },
+ "exported_hotspot_count": {
+ "minimum": 0,
+ "title": "Exported Hotspot Count",
+ "type": "integer"
+ },
+ "fallback_reason": {
+ "anyOf": [
+ {
+ "type": "string"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null,
+ "title": "Fallback Reason"
+ },
+ "fallback_used": {
+ "anyOf": [
+ {
+ "type": "boolean"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null,
+ "title": "Fallback Used"
+ },
+ "forbidden_conclusions": {
+ "default": [],
+ "items": {
+ "type": "string"
+ },
+ "title": "Forbidden Conclusions",
+ "type": "array"
+ },
+ "frame_line_count": {
+ "minimum": 0,
+ "title": "Frame Line Count",
+ "type": "integer"
+ },
+ "inline_frame_count": {
+ "minimum": 0,
+ "title": "Inline Frame Count",
+ "type": "integer"
+ },
+ "input_bytes": {
+ "minimum": 0,
+ "title": "Input Bytes",
+ "type": "integer"
+ },
+ "input_sha256": {
+ "pattern": "^[a-f0-9]{64}$",
+ "title": "Input Sha256",
+ "type": "string"
+ },
+ "limitations": {
+ "default": [],
+ "items": {
+ "type": "string"
+ },
+ "title": "Limitations",
+ "type": "array"
+ },
+ "malformed_record_count": {
+ "minimum": 0,
+ "title": "Malformed Record Count",
+ "type": "integer"
+ },
+ "normalization_merge_count": {
+ "minimum": 0,
+ "title": "Normalization Merge Count",
+ "type": "integer"
+ },
+ "omitted_call_path_weight": {
+ "minimum": 0,
+ "title": "Omitted Call Path Weight",
+ "type": "integer"
+ },
+ "omitted_hotspot_self_weight": {
+ "minimum": 0,
+ "title": "Omitted Hotspot Self Weight",
+ "type": "integer"
+ },
+ "parser_invariants_passed": {
+ "title": "Parser Invariants Passed",
+ "type": "boolean"
+ },
+ "quality_status": {
+ "enum": [
+ "verified",
+ "partial"
+ ],
+ "title": "Quality Status",
+ "type": "string"
+ },
+ "sample_count": {
+ "minimum": 0,
+ "title": "Sample Count",
+ "type": "integer"
+ },
+ "schema_version": {
+ "const": "1.0",
+ "default": "1.0",
+ "title": "Schema Version",
+ "type": "string"
+ },
+ "source_annotation_line_count": {
+ "minimum": 0,
+ "title": "Source Annotation Line Count",
+ "type": "integer"
+ },
+ "source_collection_artifact_sha256": {
+ "anyOf": [
+ {
+ "pattern": "^[a-f0-9]{64}$",
+ "type": "string"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null,
+ "title": "Source Collection Artifact Sha256"
+ },
+ "source_collection_id": {
+ "anyOf": [
+ {
+ "type": "string"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null,
+ "title": "Source Collection Id"
+ },
+ "source_line_frame_count": {
+ "minimum": 0,
+ "title": "Source Line Frame Count",
+ "type": "integer"
+ },
+ "source_line_self_percent": {
+ "maximum": 100,
+ "minimum": 0,
+ "title": "Source Line Self Percent",
+ "type": "number"
+ },
+ "source_line_self_weight": {
+ "minimum": 0,
+ "title": "Source Line Self Weight",
+ "type": "integer"
+ },
+ "source_locations_truncated_hotspot_count": {
+ "minimum": 0,
+ "title": "Source Locations Truncated Hotspot Count",
+ "type": "integer"
+ },
+ "total_call_path_count": {
+ "minimum": 0,
+ "title": "Total Call Path Count",
+ "type": "integer"
+ },
+ "total_hotspot_count": {
+ "minimum": 0,
+ "title": "Total Hotspot Count",
+ "type": "integer"
+ },
+ "total_weight": {
+ "minimum": 0,
+ "title": "Total Weight",
+ "type": "integer"
+ },
+ "unicode_replacement_count": {
+ "minimum": 0,
+ "title": "Unicode Replacement Count",
+ "type": "integer"
+ },
+ "unresolved_self_percent": {
+ "maximum": 100,
+ "minimum": 0,
+ "title": "Unresolved Self Percent",
+ "type": "number"
+ },
+ "unresolved_self_weight": {
+ "minimum": 0,
+ "title": "Unresolved Self Weight",
+ "type": "integer"
+ },
+ "warning_count": {
+ "minimum": 0,
+ "title": "Warning Count",
+ "type": "integer"
+ },
+ "warnings_truncated": {
+ "title": "Warnings Truncated",
+ "type": "boolean"
+ },
+ "weight_source": {
+ "title": "Weight Source",
+ "type": "string"
+ },
+ "weight_unit": {
+ "title": "Weight Unit",
+ "type": "string"
+ }
+ },
+ "required": [
+ "quality_status",
+ "parser_invariants_passed",
+ "input_sha256",
+ "input_bytes",
+ "sample_count",
+ "total_weight",
+ "event",
+ "weight_unit",
+ "weight_source",
+ "malformed_record_count",
+ "warning_count",
+ "warnings_truncated",
+ "unicode_replacement_count",
+ "frame_line_count",
+ "duplicate_frame_line_count",
+ "address_annotation_line_count",
+ "source_annotation_line_count",
+ "aggregated_frame_occurrence_count",
+ "unresolved_self_weight",
+ "unresolved_self_percent",
+ "call_graph_weight",
+ "call_graph_weight_percent",
+ "source_line_frame_count",
+ "source_line_self_weight",
+ "source_line_self_percent",
+ "inline_frame_count",
+ "normalization_merge_count",
+ "source_locations_truncated_hotspot_count",
+ "total_hotspot_count",
+ "exported_hotspot_count",
+ "omitted_hotspot_self_weight",
+ "total_call_path_count",
+ "exported_call_path_count",
+ "omitted_call_path_weight"
+ ],
+ "title": "EvidenceQuality",
+ "type": "object"
+ }
+}Output schema / properties / evidence_qualityAdded value: +{
+ "anyOf": [
+ {
+ "$ref": "#/$defs/EvidenceQuality"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null
+}v0.1.1Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already convey idempotentHint=true and destructiveHint=false, but the description adds no behavioral context beyond the generic verb 'analyze.' It does not disclose whether the tool creates artifacts, mutates state, requires permissions, or has any side effects, and readOnlyHint=false leaves room for such side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single front-loaded sentence with no filler or repetition. It earns its place by naming the resource, though it is slightly under-specified in terms of behavior.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The presence of an output schema covers return-value details, but the description still leaves major gaps: what analysis actually involves, when to choose this tool over an inspection or trace-analysis sibling, and whether the operation is side-effect-free. Given the large sibling set, this is not complete enough for an agent to invoke it confidently.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It adds some meaning by indicating that collection_id refers to a stored CPU record collection artifact, but it does not explain how to obtain a valid ID, what format it takes, or any constraints. For a single self-named parameter this is minimally adequate but not rich.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('analyze') and identifies a concrete resource ('a stored CPU record collection artifact'), so an agent can tell it operates on stored CPU record collections. However, it does not specify what kind of analysis is performed, which weakens differentiation from similar-looking sibling tools like analyze_trace_evidence or analyze_benchmark.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus alternatives. It does not mention context like inspecting collection capabilities, analyzing traces, verifying analyses, or building diagnosis bundles, so the agent must infer usage solely from the name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.