Skip to main content
Glama

overassessed

Server Details

Maryland property-assessment fairness checks vs similar homes, with appeal windows and links.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

100% free. Your data is private.
Tool DescriptionsA

Average 4.2/5 across 1 of 1 tools scored.

Server CoherenceA
Disambiguation5/5

Only one tool exists, so there is no possibility of confusing it with another. The tool's purpose is clearly defined.

Naming Consistency5/5

The single tool uses a clear verb_noun convention (check_assessment), which is consistent even though there is only one name.

Tool Count4/5

With a narrow domain (Maryland property assessment fairness), a single comprehensive tool is appropriate. It is under the typical tool count but reasonable for the server's focused purpose.

Completeness5/5

The tool covers the full lifecycle of an assessment fairness check: it evaluates the property, compares it to similar homes, provides a verdict, and supplies appeal information. It handles edge cases like multiple matches, so there are no obvious dead ends.

Available Tools

1 tool
check_assessmentAInspect

Fairness check for a Maryland property assessment: where the address sits among genuinely similar homes (same reassessment group, similar size/lot/age, same zip), the group's median sales ratio, verdict branch (fair/review/elevated/insufficient), and Maryland's appeal windows with official filing links. If several parcels share the address, returns multiple_matches with account ids; re-call with acct.

ParametersJSON Schema
NameRequiredDescriptionDefault
zipNo5-digit zip (recommended; addresses repeat across Maryland)
acctNoSDAT account id from a prior multiple_matches result (wins over address)
addressNoStreet address as the roll writes it, e.g. 1 STATE CIR (no unit numbers, no city)
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It does this well by explaining the matching logic (same reassessment group, similar size/lot/age, same zip), the verdict branches, and the multiple_matches flow. It stops short of describing error conditions or handling of missing parameters, which would be a small addition.

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?

The description is front-loaded with the core purpose and then provides essential detail in a compact two-sentence structure. No filler words; the multi-match re-call instruction earns its place.

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?

In the absence of an output schema, the description does a solid job of enumerating what the tool returns and how to disambiguate multi-parcel cases. A minor gap is that with all parameters optional, the description does not state what happens when no address/zip/acct is provided, but the overall context is sufficient for normal use.

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 per the guideline baseline is 3. The description repeats the acct re-call behavior already captured in the schema but adds no new parameter-level meaning beyond what the rich schema descriptions already provide.

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 and resource: 'Fairness check for a Maryland property assessment.' It then enumerates concrete outputs (comparison group, median sales ratio, verdict branch, appeal windows), making the tool's function unambiguous even without siblings.

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?

While there are no sibling tools to contrast against, the description provides clear procedural guidance: if multiple parcels match, it returns multiple_matches and instructs the agent to re-call with acct. It also explains the recommended zip usage indirectly through the schema, but the description itself could more explicitly state when to prefer this tool over a general property lookup.

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

Discussions

No comments yet. Be the first to start the discussion!

Related MCP Servers

  • A
    license
    -
    quality
    A
    maintenance
    Enables AI agents to look up county assessor public records for properties, check MLS discrepancies against public data, and discover new county assessor sources, all via a local MCP server for real-estate appraisal workflows.
    Last updated
    5
    MIT
  • A
    license
    -
    quality
    C
    maintenance
    Enables querying Maryland government open data (state, health, transportation, budget, environment) via the Socrata SoQL API, with tools to search datasets, run queries, and retrieve metadata.
    Last updated
    24
    MIT
  • A
    license
    -
    quality
    C
    maintenance
    Provides Maryland DMV monthly vehicle registration counts and electric/plug-in hybrid adoption by county and ZIP code, with accurate totals and flexible querying.
    Last updated
    68
    MIT
  • F
    license
    -
    quality
    C
    maintenance
    Enables AI agents to query York County, SC property tax assessor records including owner names, property addresses, vehicle registrations, assessed values, and tax payment information.
    Last updated

View all MCP Servers

Try in Browser

Your Connectors

Sign in to create a connector for this server.

Resources