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Pinpoint Value

impact_pinpoint_value
Read-only

Generate value proposition statements, a value matrix for your own figures and proof points that fit your business model

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoProduct category
key_outcomeYesThe main result customers achieve
your_sectorNoYour company's own industry (not your customers'). When given, it decides the sector notes; when left out, the tool reads it from your words and stays neutral if they are unclear.
product_nameNoYour product/company name
business_modelNoHow you sell (saas, services, connectivity, transactions, marketplace, hardware_software or investment). Used to choose proof types; read from your inputs when not given
target_customerYesWho you serve (e.g., "cloud security leads at mid-size fintech companies")
customer_metricsNoAny customer results data (e.g., "critical exposures down 70% in one quarter; audit preparation from 3 weeks to 4 days")
unique_capabilityYesWhat you do that others cannot/don't

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered and the description does not contradict it. The description adds the nature of the output (value statements, matrix, proof points) but says nothing about output format, length, or how 'your own figures' are consumed, leaving gaps beyond what annotations supply.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single front-loaded sentence with no filler, which is appropriately sized. The phrasing is slightly run-on and awkward ('a value matrix for your own figures and proof points that fit your business model'), costing a point but not impeding comprehension.

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?

With no output schema and a fairly complex 8-parameter creative-generation task, the description should convey more about the expected output and when to invoke it. It names the deliverables but omits any sense of output shape or workflow position, leaving it only minimally complete.

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%, including clear enum semantics for your_sector and business_model, so the schema carries the parameter burden. The description adds only the loose phrase 'proof points that fit your business model,' which loosely maps to business_model but contributes no new syntax or constraints beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Generate') and concrete artifacts ('value proposition statements, a value matrix ... and proof points'), so the agent knows exactly what the tool produces. It is distinguishable by content from siblings like impact_craft_message or impact_anchor_market, but it never names or routes against them, so it stops short of full sibling differentiation.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no prerequisites, and no mention of any alternative tool despite seven close siblings in the impact_* family. The agent must infer that this is the 'value proposition' stage from the name alone.

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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